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A Study on Basalization of the Classification in Mountain Ginseng and Plain Ginseng Images in Artificial Intelligence Technology for the Detection of Illegal Mountain Ginseng (불법 산양삼 검출을 위한 인공지능 기술에서의 산양삼과 인삼 이미지의 분류 기저화 연구)

  • Park, Soo-Kyoung;Na, Hojun;Kim, Ji-Hye
    • The Journal of Bigdata
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    • v.5 no.1
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    • pp.209-225
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    • 2020
  • This study tried to establish a base level for the form of ginseng in order to prevent fraud in which novice consumers, who have no information on ginseng and mountain ginseng, regard ginseng as mountain ginseng. To that end, researchers designed a service design in which when a consumer takes a picture of ginseng with an APP dedicated to a smartphone, the photo is sent remotely and the determined results are sent to the consumer based on machine learning data. In order to minimize the difference between the data set in the research process and the background color, location, size, illumination, and color temperature of the mountain ginseng when consumers took pictures through their smartphones, the filming box exclusively for consumers was designed. Accordingly, the collection of mountain ginseng samples was made under the same controlled environment and setting as the designed box. This resulted in a 100% predicted probability from the CNN(VGG16) model using a sample that was about one-tenth less than widley required in machine learning.

Patient-specific Guides Using 3-dimensional Reconstruction Provide Accuracy and Reproducibility in Reverse Total Shoulder Arthroplasty

  • Yoon, Jong Pil;Kim, Dong Hyun;Jung, Jae Wook;Lee, Chang-Hwa;Min, Seunggi;Lee, Hyun Joo;Kim, Hee-June
    • Clinics in Shoulder and Elbow
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    • v.22 no.1
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    • pp.16-23
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    • 2019
  • Background: We aimed to evaluate whether the use of our novel patient-specific guide (PSG) with 3-dimensional reconstruction in reverse total shoulder arthroplasty (RTSA) would allow accurate and reliable implantation of the glenoid and humeral components. Methods: 20 fresh-frozen cadaveric shoulders were used. The PSG group (n=10) and conventional group (n=10) was evaluated the accuracy and reproducibility of implant positioning between before and after surgery on the computed tomography image. Results: The superoinferior and anteroposterior offset in the glenoid component were $0.42{\pm}0.07$, $0.50{\pm}0.08$ in the conventional group and $0.45{\pm}0.03$, $0.46{\pm}0.02$ in the PSG group. The inclination and version angles were $-1.93^{\circ}{\pm}4.31^{\circ}$, $2.27^{\circ}{\pm}5.91^{\circ}$ and $0.46^{\circ}{\pm}0.02^{\circ}$, $3.38^{\circ}{\pm}2.79^{\circ}$. The standard deviation showed a smaller difference in the PSG group. The anteroposterior and lateromedial humeral canal center offset in the humeral component were $0.45{\pm}0.12$, $0.48{\pm}0.15$ in the conventional group and $0.46{\pm}0.59$ (p=0.794), $0.46{\pm}0.06$ (p=0.702) in the PSG group. The PSG showed significantly better humeral stem alignment. Conclusions: The use of PSGs with 3-dimensional reconstruction reduces variabilities in glenoid and humerus component positions and prevents extreme positioning errors in RTSA.

Use of an animated emoji scale as a novel tool for anxiety assessment in children

  • Setty, Jyothsna V;Srinivasan, Ila;Radhakrishna, Sreeraksha;Melwani, Anjana M;Krishna DR, Murali
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.19 no.4
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    • pp.227-233
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    • 2019
  • Background: Dental anxiety in children is a major barrier in patient management. If dental anxiety in pediatric patients is assessed during the first visit, it will not only aid in management but also help to identify patients who are in need of special care to deal with their fear. Nowadays, children and adults are highly interested in multimedia and are closely associated with them. Children usually prefer motion pictures on electronic devices than still cartoons on paper. Therefore, this study was conducted to evaluate a newly designed scale, the animated emoji scale (AES), which uses motion emoticons/animojis to assess dental anxiety in children during their first dental visit, and compare it with the Venham picture test (VPT) and facial image scale (FIS). Methods: The study included 102 healthy children aged 4-14 years, whose dental anxiety was measured using AES, VPT, and FIS during their first dental visit, and their scale preference was recorded. Results: The mean anxiety scores measured using AES, FIS, and VPT, represented as $mean{\pm}SD$, were $1.78{\pm}1.19$, $1.93{\pm}1.23$, and $1.51{\pm}1.84$, respectively. There was significant difference in the mean anxiety scores between the three scales (Friedman test, P < 0.001). The Pearson's correlation test showed a very strong correlation (0.73) between AES and VPT, and a strong correlation between AES and FIS (0.88), and FIS and VPT (0.69), indicating good validity of AES. Maximum number of children (74.5%) preferred AES. Conclusion: The findings of this study suggest that the AES is a novel and child-friendly tool for assessing dental anxiety in children.

Comparison of the Effects of General and Pregnant Women's Dentifrices on the Removal of the Dental Plaque

  • Kim, Ye-Eun;Ko, Seong-Eun;Sa, Da-Eun;Lee, Ji-Eun;Jeon, Se-Yoon;Lim, Do-Seon
    • Journal of dental hygiene science
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    • v.20 no.4
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    • pp.245-251
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    • 2020
  • Background: This study tries to compare and analyze the removal effect of dental plaque of general dentifrice and pregnant women's dentifrice and quantify the results to provide basic data so that consumers can make reasonable choices when purchasing dentifrice, and also increase interest in the dental plaque. Methods: After forming a dental plaque (carbohydrate porridge) on the labial surface of the bovine teeth, a disclosing agent was applied. Then the same experimenter brushed the surface of the bovine teeth using an electric toothbrush and took photographs using a DSLR camera. Thereafter, the residual amount of dental plaque was analyzed using the ImageJ program, and SPSS 26.0 was used for statistical processing. Results: The average residual amount of dental plaque using the general dentifrice was 11.71% for Perio, 9.45% for Cliden, and 8.47% for 2080, and the average residual amount for the three types was approximately 9.88%. The average residual amount of dental plaque of pregnant women's dentifrice was 13.95% for Jeninmothers, 12.53% for Tntnmoms, and 12.63% for Mommiracle, and the average residual amount of the three types was approximately 13.04%. On comparing the average residual amount of dental plaque between general and pregnant women's dentifrices, it was observed to be 3.16% higher for the latter. However, the results were not statistically significant. Conclusion: According to the research results, there was no significant difference in removal effects of general dentifrice and pregnant women's dentifrice. In addition, when a pregnant woman uses the right toothbrushing method with pregnant women's dentifrice, it can prevent or inhibit the progression of the gestational periodontal disease. Therefore, we recommend pregnant women to use pregnant women's dentifrices.

New insight into the mandibular nerve at the foramen ovale level for percutaneous radiofrequency thermocoagulation

  • Peng-Bo Zhu;Yeon-Dong Kim;Ha Yeong Jeong;Miyoung Yang;Hyung-Sun Won
    • The Korean Journal of Pain
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    • v.36 no.4
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    • pp.465-472
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    • 2023
  • Background: Percutaneous radiofrequency thermocoagulation (RFTC) has been widely utilized in the management of trigeminal neuralgia. Despite using image guidance, accurate needle positioning into the target area still remains a critical element for achieving a successful outcome. This study was performed to precisely clarify the anatomical information required to ensure that the electrode tip is placed on the sensory component of the mandibular nerve (MN) at the foramen ovale (FO) level. Methods: The study used 50 hemi-half heads from 26 South Korean adult cadavers. Results: The cross-sectioned anterior and posterior divisions of the MN at the FO level could be distinguished based on an irregular boundary and color difference. The anterior division was clearly brighter than the posterior one. The anterior division of the MN at the FO level was located at the whole anterior (38.0%), anteromedial (6.0%), anterior center (8.0%), and anterolateral (22.0%) parts. The posterior division was often located at the whole posterior or posterolateral parts of the MN at the FO level. The anterior divisions covered the whole MN except for the medial half of the posterolateral part in the overwrapped images of the cross-sectional areas of the MN at the FO level. The cross-sectional areas of the anterior divisions were similar in males and females, whereas those of the posterior divisions were significantly larger in males (P = 0.004). Conclusions: The obtained anatomical information is expected to help physicians reduce unwanted side effects after percutaneous RFTC within the FO for the MN.

A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring

  • Joseph Kyu-hyung Park;Seungchul Baek;Chan Yeong Heo;Jae Hoon Jeong;Yujin Myung
    • Archives of Plastic Surgery
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    • v.51 no.1
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    • pp.30-35
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    • 2024
  • Background Breast aesthetics evaluation often relies on subjective assessments, leading to the need for objective, automated tools. We developed the Seoul Breast Esthetic Scoring Tool (S-BEST), a photometric analysis software that utilizes a DenseNet-264 deep learning model to automatically evaluate breast landmarks and asymmetry indices. Methods S-BEST was trained on a dataset of frontal breast photographs annotated with 30 specific landmarks, divided into an 80-20 training-validation split. The software requires the distances of sternal notch to nipple or nipple-to-nipple as input and performs image preprocessing steps, including ratio correction and 8-bit normalization. Breast asymmetry indices and centimeter-based measurements are provided as the output. The accuracy of S-BEST was validated using a paired t-test and Bland-Altman plots, comparing its measurements to those obtained from physical examinations of 100 females diagnosed with breast cancer. Results S-BEST demonstrated high accuracy in automatic landmark localization, with most distances showing no statistically significant difference compared with physical measurements. However, the nipple to inframammary fold distance showed a significant bias, with a coefficient of determination ranging from 0.3787 to 0.4234 for the left and right sides, respectively. Conclusion S-BEST provides a fast, reliable, and automated approach for breast aesthetic evaluation based on 2D frontal photographs. While limited by its inability to capture volumetric attributes or multiple viewpoints, it serves as an accessible tool for both clinical and research applications.

The nuclear medicinal study on degenerative arthritis of knee joint using traditional acupuncture (퇴행성 슬관절염에 대한 핵의학적 고찰)

  • Kim, Young-Gue;Park, So-Young;Koh, Kang-Hoon;Yoon, Min-Young;Jin, Kyong-Sun;Chang, Byoung-Sun;Oh, Hee-Hong;Kim, Sung-Chul;Hwang, Woo-Jun;Song, Ho-Chun;Ahn, Soo-Gi
    • Journal of Acupuncture Research
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    • v.19 no.1
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    • pp.127-134
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    • 2002
  • Background and Purpose : Now, a lot of people are suffering from arthritis of knee joint. Western and oriental medicine, all of them are trying various methods to cure this disease, but generally the grade or level of repairing has been decided by the subjective estimation of the patients and doctors. So, we suggest the new standard for estimating the level of repair in this disease using nuclear medicine. Objective : To evalute the difference of the blood pool and delayed images in the correlation with clinical symptoms in patients with arthritis of knee joint by using acupuncture. Methods : Eight patients with arthritis of knee joint included in this study. Using Thermograph (D.I.T.I) and Radionuclide, we obtained the results. In Bone scan Tc-99m MDP, and MIBI scan was obtained at 1 minute and 3 hour after injection of 1,110 MBq Tc-99m MDP and MIBI. The analysis was carried out hurted area of joint. The Joint-to-background(J/B) ratios were obtained exclusively in the joints regions. Clinical symptoms were evaluated as pain and swelling graded from 0(no) to 5(severe) in the same joints, respectively. Results : J/B ratios on the delayed scans were higher than those on blood pool images. There was significant correlation between clinical symptoms and J/B on blood pool image in the joints =0.03). Conclusion : The results demonstrate that blood pool images of Tc-99m MDP scintigraphy correlates with clinical symptoms more than delayed images in patients with arthritis Joint.

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The Evaluation of Image Correction Methods for SPECT/CT in Various Radioisotopes with Different Energy Levels (SPECT/CT에서 서로 다른 에너지의 방사성동위원소 사용시 영상보정기법의 유용성 평가)

  • Shin, Byung Ho;Kim, Seung Jeong;Yun, Seok Hwan;Kim, Tae Yeop;Lim, Jung Jin;Woo, Jae Ryong;Oh, So Won;Kim, Yu Kyeong
    • The Korean Journal of Nuclear Medicine Technology
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    • v.17 no.2
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    • pp.53-58
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    • 2013
  • Purpose: To optimize correction method for SPECT/CT, image quality consisting of resolution and contrast was evaluated using three radioisotopes ($^{99m}Tc$, $^{201}Tl$ and $^{131}I$) and three different correction methods; attenuation correction (AC), scatter correction (SC) and both attenuation and scatter correction (ACSC). Materials and Methods: Images were acquired with a SPECT/CT scanner and a conventional CT protocol with an OESM reconstruction algorithm (2 iterations and 10 subsets). For resolution measurement, fixed radioactivity (2.22 kBq) was infused into a spatial resolution phantom and full width at half maximum (FWHM) was measured using a vendor-provided software. For contrast evaluation, radioactive source with a ratio of 1:8 to background was filled in a Flanged Jaszczak phantom and percent contrast (%) were calculated. All the parameters for image quality were compared with non-correction (NC) method. Results: As compared with NC, image resolution of all three isotopes were significantly improved by AC and ACSC, not by SC. In particular, ACSC showed better resolution than AC alone for $^{99m}Tc$ and $^{201}Tl$. Image contrast of all three radioisotopes in a sphere with the largest diameter were enhanced by all correction methods. ACSC showed the highest contrast in all three radioisotopes, which was the most accurate in $^{99m}Tc$ (85.9%). Conclusion: Image quality of SPECT/CT was improved in all the radioisotopes by CT-based attenuation correction methods, except SC alone. SC failed to improve resolution in any radioisotopes, but it was effective in contrast enhancement. ACSC would be the best correction method as it improved resolution in radioisotopes with low energy levels and contrast in radioisotope with low energy levels. However, in radioisotope with high energy level, AC would be better than ACSC for resolution improvement.

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Evaluation of Image Quality for 2D TSE(RT) and 3D GRASE in MRCP Study: Fast MRCP Method (췌담관자기공명영상에서 2D TSE(RT)와 3D GRASE(BH) 기법에 대한 영상의 질 평가 : Fast MRCP 기법)

  • Goo, Eun-Hoe
    • Journal of the Korean Society of Radiology
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    • v.15 no.7
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    • pp.983-989
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    • 2021
  • In this study, we intend to evaluate image quality and provide to clinical basic data by applying to 2D TSE (RT) and 3D GRASE (BH) techniques using Fast MRCP testing methods for application to patients in poor patient condition. Data were analyzed for 30 patients (15 males, 15 females, and 64±4.26 average age) who underwent MRCP tests. The equipment used was Ingenia CX 3.0 T equipment and Ds anterior coil was used for data acquisition. SNR and CNR of each image were measured through quantitative analysis, and the quality of the image was evaluated by dividing it into 5 grades for qualitative evaluation. The image evaluation was performed on the paired t-test and the Wilcoxon test, and when the p value was 0.05 or less, it was considered to be significant. As a result of quantitative analysis of SNR and CNR, 3D GRASE (BH) was measured high when comparing the two techniques, 2D TSE (RT) MRCP and 3D GRASE (BH) (p<0.05). The qualitative analysis result is a sharpness of the bile duct: 3D GRASE(BH): 4.12±0.03, Overall image quality: 3D GRASE(BH): 4.21±0.91 was high (p=0.001). The motion artifact of the bile duct showed no significant difference with two techniques(2D TSE(RT): 4.41±0.04, 3D GRASE(BH): 4.53±0.14(p=0.067). However, the background suppression obtained significant results with 2D TSE(RT) of 4.14±0.55(p=0.001). In conclusion, as a result of using the Fast MRCP testing method, MRCP images obtained by 3D GRASE (BH) had an advantage over MRCP images using 2D TSE (RT). However, there will be useful results of 2D TSE(RT) MRCP technique in patients who have difficulty holding their breath.

Object Detection Method on Vision Robot using Sensor Fusion (센서 융합을 이용한 이동 로봇의 물체 검출 방법)

  • Kim, Sang-Hoon
    • The KIPS Transactions:PartB
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    • v.14B no.4
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    • pp.249-254
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    • 2007
  • A mobile robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. We focus on how to detect a object region well using image processing algorithm because it gives robots the ability of working for human. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Shape information and signature algorithm are used to segment the objects from background regardless of shape changes. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.