• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.134-136
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• 2021

Research related to early diagnosis of breast cancer using artificial intelligence algorithms has been actively conducted in recent years. Although various algorithms that classify breast cancer based on a few publicly available ultrasound breast cancer images have been published, these methods show various limitations such as, processing speed and accuracy suitable for the user's purpose. To solve this problem, in this paper, we propose a multi-stage transfer learning where ResNet model trained on ImageNet is transfer learned to microscopic cancer cell line images, which was again transfer learned to classify ultrasound breast cancer images as benign and malignant. The images for the experiment consisted of 250 breast cancer ultrasound images including benign and malignant images and 27,200 cancer cell line images. The proposed multi-stage transfer learning algorithm showed more than 96% accuracy when classifying ultrasound breast cancer images, and is expected to show higher utilization and accuracy through the addition of more cancer cell lines and real-time image processing in the future.

• Women's Health Nursing
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• v.1 no.1
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• pp.138-152
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• 1995

The condition of nutrition during infancy will greatly affect infants' physical, emotional growth, especially breast feeding is important in their growth and development, and emotional stability, too. Despite such advantages of breast-feeding, its rate has continued to fall year after year in Korea : the 95% rate in 1960's has fallen to 25.4% in 1990. It is known that such a downfall of breast-feeding rate is associated with various factors. The purpose of the study is to examine mother's and nurses' in nursery perception of the impediment factors of breast-feeding : to compare those between of breast-feeding : to compare those between two groups : to provide fundamental data for developing strategies for increasing breast-feeding. The subjects were 45 new mothers from one hospital and the same number of nurses sampled from 3 university hospitals, in Seoul. The data were collected for 11 days from April 12 to April 23, 1994 and a questionnaire was developed based on the interview with 14 nurses and 10 mothers and the literature reviews. Liker's Five-Point Scale was used as measurement. The Data were analyzed using SPSS / PC and descriptive statistics, t-test, ANOVA. The results of study are as follows : 1) Most new mothers get the information about breast-feeding from their mothers, books or newspaper, and relatives in rank than professionals(nurses or doctors). 2) The impediment factors the breast-feeding are categorized as mothers, hospital system, medical personnels and social factors. The most frequently mentioned impediment factors from mothers are 'Difficulty by operational wounds'(3.13), 'Lack of will for breast-feeding'(3.47), 'Insufficient rest and sleep'(3.52) and 'Opposition from husband or his family members'(4.77)in rank. On the other hand those factors from nurses are 'Inadequate nipple condition'(2.37), 'Decreasing milk secretion given medicine after operation'(2.63), 'Mothers knowledge deficit by poorly prepared education'(2.79) and 'Mothers abhorance of breast-feeing'(3.87) in rank. 3) As for the hospital system, the highly perceived impediment factors by mothers are 'Seperation of baby from mother after birth'(2.78), 'Lack of space for breast-feeding in the hospital'(2.93), 'Lack of facility for informing the time for breast-feeding'(3.18) and 'Because of babys' preference artificial nipple by being accustomed to it in hospital(3.97), in rank. Meanwhile, those from nurses are "Seperation of baby from mother after birth",(1.92), "Inconsistency between hospital's nursing time and mother's breast secretion time" scretion time(2.97), "Lack of space for breast-feeding in the hospital"(3.39), and "Lack of facility for informing the time for breast-feeding"(3.74) 4) As for the medical personnels, the highestly perceived Impediment factor from mothers in "Lack of professional nurses for breast-feeding"(2.96), and the lowestly perceived one is "Doctors' reluctance"(4.75). Nurses perceived same as mothers, too. 5) As for the social factors, the highestly perceived impediment factor by mothers and nurses is "Inconvience of social activities"(2.83) and the lowestly ones are "The sense of self-sacrifice"(4.22) by mothers, and "The sense of old fashioned"(4.13) by nurses. 6) The difference of the perception of impediment factors between mothers and nurses is statistically significant only in mother factor.

• Women's Health Nursing
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• v.29 no.3
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• pp.160-178
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• 2023

Purpose: Since technology-based interventions can facilitate convenient access to healthcare for women with breast cancer, it is crucial to understand innovative approaches to maintaining the effectiveness of these interventions. Therefore, we conducted a systematic review of technology-based self-management interventions for women with breast cancer in six countries. We analyzed the characteristics of these interventions and examined their diverse health outcomes. Methods: Six databases were systematically searched to extract research articles using the keywords "breast cancer," "technology," and "self-management." The search was carried out up until June 12, 2023. From the 1,288 studies retrieved from the database search, 10 eligible papers were identified based on inclusion/exclusion criteria. Two authors independently extracted and compared the data from these articles, resolving any discrepancies through discussion. Results: Most of the 10 studies utilized web- or mobile-based technology, and one used artificial intelligence-based technology. Among the 12 health-related outcome variables, quality of life and symptom distress were the most frequently mentioned, appearing in six articles. Furthermore, an analysis of the intervention programs revealed a variety of common constructs and the involvement of managers in the self-management intervention. Conclusion: Incorporating key components such as self-management planning, diary keeping, and communication support in technology-based interventions could significantly improve the self-management process for breast cancer survivors. The practical application of technology has the potential to empower women diagnosed with breast cancer and improve their overall quality of life, by providing timely and sustainable interventions, and by leveraging available resources and tools.

• Korean Journal of Radiology
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• v.23 no.5
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• pp.505-516
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• 2022

Objective: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms. Materials and Methods: A commercial deep learning-based software for mammography was validated using external data collected from 200 patients, 100 each with and without breast cancer (40 with benign lesions and 60 without lesions) from one hospital. Ten readers, including five breast specialist radiologists (BSRs) and five general radiologists (GRs), assessed all mammography images using a seven-point scale to rate the likelihood of malignancy in two sessions, with and without the aid of the AI-based software, and the reading time was automatically recorded using a web-based reporting system. Two reading sessions were conducted with a two-month washout period in between. Differences in the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and reading time between reading with and without AI were analyzed, accounting for data clustering by readers when indicated. Results: The AUROC of the AI alone, BSR (average across five readers), and GR (average across five readers) groups was 0.915 (95% confidence interval, 0.876-0.954), 0.813 (0.756-0.870), and 0.684 (0.616-0.752), respectively. With AI assistance, the AUROC significantly increased to 0.884 (0.840-0.928) and 0.833 (0.779-0.887) in the BSR and GR groups, respectively (p = 0.007 and p < 0.001, respectively). Sensitivity was improved by AI assistance in both groups (74.6% vs. 88.6% in BSR, p < 0.001; 52.1% vs. 79.4% in GR, p < 0.001), but the specificity did not differ significantly (66.6% vs. 66.4% in BSR, p = 0.238; 70.8% vs. 70.0% in GR, p = 0.689). The average reading time pooled across readers was significantly decreased by AI assistance for BSRs (82.73 vs. 73.04 seconds, p < 0.001) but increased in GRs (35.44 vs. 42.52 seconds, p < 0.001). Conclusion: AI-based software improved the performance of radiologists regardless of their experience and affected the reading time.

• Archives of Plastic Surgery
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• v.35 no.3
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• pp.279-282
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• 2008

Purpose: It is known that the chronic absence of unilateral breast can cause spine curvature. The artificial breast manufactures take up the position of that possibility. This study was designed to evaluate the influence of the mastectomy on the spine and appearance of scoliosis among women who wanted delayed breast reconstruction. ted delayed breast reconstruction. Methods: The study population consisted of 47 women who underwent delayed breast reconstruction at our Department of Plastic Surgery from April 2001 to May 2007. The whole spine anteroposterior and lateral X-ray was taken to evaluate the Cobb's angle. As a general rule a Cobb angle of 10 is regarded as a minimum angulation to define scoliosis. We evaluated Cobb's angle and drew a correlation between the duration of the mastectomy state and the weight of the mastectomy specimen. Results: There were no family history of scoliosis, and no numbness or weakness in the upper or lower extremities. They had normal reflex and experienced no tenderness of the perispinal area. The Spearman Correlation Coefficient between Cobb's angle and the period that took time from the mastectomy to the X-rays and analysis between Cobb's angle and specimen weight was 0.032 and-0.115. there were no correlation between Cobb's angle and time, or between Cobb's angle and specimen weight. Conclusion: lthough the patients attribute their back pain and distorted posture to having received an one-sided mastectomy, it is unlikely that one-sided mastectomy causes spinal deformity and scoliosis.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.389-398
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• 2007

Case-based reasoning (CBR) is one of the most popular prediction techniques for medical diagnosis because it is easy to apply, has no possibility of overfitting, and provides a good explanation for the output. However, it has a critical limitation - its prediction performance is generally lower than other artificial intelligence techniques like artificial neural networks (ANNs). In order to obtain accurate results from CBR, effective retrieval and matching of useful prior cases for the problem is essential, but it is still a controversial issue to design a good matching and retrieval mechanism for CBR systems. In this study, we propose a novel approach to enhance the prediction performance of CBR. Our suggestion is the simultaneous optimization of feature weights, instance selection, and the number of neighbors that combine using genetic algorithms (GAs). Our model improves the prediction performance in three ways - (1) measuring similarity between cases more accurately by considering relative importance of each feature, (2) eliminating redundant or erroneous reference cases, and (3) combining several similar cases represent significant patterns. To validate the usefulness of our model, this study applied it to a real-world case for evaluating cytological features derived directly from a digital scan of breast fine needle aspirate (FNA) slides. Experimental results showed that the prediction accuracy of conventional CBR may be improved significantly by using our model. We also found that our proposed model outperformed all the other optimized models for CBR using GA.

• Journal of Korean Academy of Nursing
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• v.7 no.1
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• pp.30-38
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• 1977

Breast cancer is one of the most feared health problems in women ; Recent studies revealed that it had come up to be the second most in this country and high prevalent disease in the western countries among breast disease in women. However, early detection of the cancer mass is known to be easier than in many other malignancies. This study was performed to investigate the various characteristics of patients of breast cancer ; by the structural variables, menstrual, marital, and child bearing, and also their understandings and attitude towards the disease. A hundred any in- and out- patients of 51. Mary's Hospital and National Atomic Institute, Seoul were sampled. Data were gathered through direct interview by the researcher from February 1976 to January 1977 and the clinical records were used as references. Results are as follows ; 1. Breast cancer revealed to be most prevalent in the forties ; average age of 45.2 years. 2. The average age of menarche revealed to be 15.4 years ; the largest group were the 16-20 years (N=75, 68.2%). In 55 cases (50%) menstruation were normal, 38 (34.5%) postmenopausal and only in 17 (15.5%), menstruation revealed irregularity. 3. The average marital age revealed to be 22.3 years ; the largest group were 21-25 group (N=43, 39.1%). The average duration of marital life revealed to be 24.7 years ; 11-20 years group were the largest (M=34, 30.9%). 4. Most of the patients revealed to have pregnancy experiences(N=100, 90.9%) ; the average rate of experience were 5, 3 times the largest group were 3.4 times group(N= 32, 29.1%). 54 patients (49.1%) revealed to have had abortion experience ; the average were 3.4 times. 5. The largest group(N=77, 70%) had been breast feeding : followed by mixed feeding (N=12, 10.9%) and artificial feeding(N=10, 9.1%). 6. Personal health history revealed that in 20 patients (18.2%) revealed to have the past history of Purulent mastitis, 5 patients(4.5%) of breast cancer and 3 patients(2.7%) of uttering cancer family history. 7. In the one half (N=56, 50.9%, they had some information about breast cancer :27 (24.5%) by mass media, 12 (10.9%) through personal contacts and 17 (15.5%) were not able to classify the source of information. 8. In 55 cases (50%) the canoe, mass were discovered incidentally, in 39 cases (35.5%) by manual detection by self, in 10 cases (9%) by others and in 6 cases(5.5%) by observing subjective symptoms. 9. The average duration lapsed between the discovery of cancer mass and the visit to the hospital revealed to be 9.4 month. Chief reason for the delay revealed to be the non-chaplaincy due to the absence of pain(N=50, 45.5 %) followed by the administration of herb and commercial medication (N=19, 17.3%). 10. The left side breast was more affected than the right side breast, represent by 60 cases in the left and 39 cases in the right. The most frequent site of the breast cancer was the upper- outer quadrant in 53 cases (47.7%), and followed by the center in 20 cases(18 %), and the upper inner quadrant, in 19 cases (17.1%). There was / cases of bilateral carcinoma. The most prominent symptom was painless mass.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.1-11
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• 2023

Breast cancer is the disease that affects women the most worldwide. Due to the development of computer technology, the efficiency of machine learning has increased, and thus plays an important role in cancer detection and diagnosis. Deep learning is a field of machine learning technology based on an artificial neural network, and its performance has been rapidly improved in recent years, and its application range is expanding. In this paper, we propose a DNN-SVM hybrid model that combines the structure of a deep neural network (DNN) based on transfer learning and a support vector machine (SVM) for breast cancer classification. The transfer learning-based proposed model is effective for small training data, has a fast learning speed, and can improve model performance by combining all the advantages of a single model, that is, DNN and SVM. To evaluate the performance of the proposed DNN-SVM Hybrid model, the performance test results with WOBC and WDBC breast cancer data provided by the UCI machine learning repository showed that the proposed model is superior to single models such as logistic regression, DNN, and SVM, and ensemble models such as random forest in various performance measures.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.57-66
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• 2019

The purpose of this study was to identify the risk factors of breast disease by checking the difference in lifestyle and the natural estrogen-containing food intake. The subjects were women who visited the J-City Women's Hospital between the ages of 20 and 60 (disease=85, non disease=93) and to avoid the demographic factors that might affect lifestyle, and to ensure the homogeneity of the two groups, (${\pm}5$ years old) were randomly expressed. The logistic regression analysis was performed to examine the influence of variables on breast disease. The probability of receiving a diagnosis of breast disease increased by 3.04 times, the probability of receiving a diagnosis of breast disease was 4.76 times higher than that of others such as brown rice grains, and the hobby life of stress relieving methods The probability of being classified as breast disease was 2.38 times. People who have experience of artificial abortion, those who enjoy white rice, and those who do not enjoy hobbies are more likely to be diagnosed with breast disease. The breast disease prevention and education program and the education program for the general public reflecting this characteristic will be necessary.

• Child Health Nursing Research
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• v.12 no.3
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• pp.386-397
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• 2006

Purpose: This study was performed to compare the difference of maternal attachment and the maternal role confidence between mother who feeds the child with mother's milk in sanitary pack by a nurse instead of her and mother who feeds the child with artificial milk. Methods: The subjects of this study consisted of mothers of premature baby who was in NICU and can not be fed with mother's milk directly. In the sample, 21 mothers were the breast feeding group and 20 were the bottle feeding group. Data were collected from April 3, 2004 to November 2, 2005, and were analyzed using SPSS WIN 10.0. Results: The degree of maternal attachment and maternal role confidence of the breast milk feeding group was higher than that of the bottle feeding group. In accordance with general characteristics, the difference was found in maternal attachment and maternal role confidence both breast feeding group and bottle feeding group. Conclusion: More systematic nursing mediation is required for the lactation of mother's milk in sanitary pack is planned to do positive interaction between mother and the child, which has an influence on the formation of maternal attachment and the of maternal role confidence after hospitalization.