A Radiomics-based Unread Cervical Imaging Classification Algorithm
![]() |
Kim, Go Eun
(Department of Biomedical Engineering, Gachon University)
Kim, Young Jae (Department of Biomedical Engineering, Gachon University) Ju, Woong (Department of Obstetrics & Gynecology, Ewha Womans University Seoul Hospital) Nam, Kyehyun (Department of Obstetrics & Gynecology, Soonchunhyang University, Bucheon Hospital) Kim, Soonyung (R&D Center, NTL Medical Institute) Kim, Kwang Gi (Department of Biomedical Engineering, Gachon University) |
1 | Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba. Learning Deep Features for Discriminative Localization. Computer Vision and Pattern Recognition. 2016;2921-2929. |
2 | Hyun-Ju Choi, Tae-Yun Kim, Patrik Malm, Ewert Bengtsson, Heung-Kook Choi. Study on evaluating the significance of 3D nuclear texture features for diagnosis of cervical cancer. Korean Society of Computer Information. 2011;16(10):83-86. |
3 | https://www.cancer.go.kr/lay1/program/S1T211C223/cancer/view.do?cancer_seq=4877, accessed on Nov. 17, 2019. |
4 | Alyafeai Z, Ghouti L. A fully-automated deep learning pipeline for cervical cancer classification. Expert Systems with Applications. 2020;83-86 |
5 | Yu Jin Seol, Young Jae Kim, Kye Hyun Nam, Kwang Gi Kim. Comparison on the Deep Learning Performance of a Field of View. Journal of Korea Multimedia Society. 2020;23(7):812-818. DOI |
6 | Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230-243. DOI |
7 | Korean society of Obstetrics and Gynecology (https://www.ksog.org/public/index.php?sub=4&third=4). |
8 | Hee HS, Chern YJ, Classify And Visualize The Fatty Liver Using Class Activation Maps And CNN, Korea Institute Of Communication Sciences, 2020;18(10):83-86. |
9 | Sangchul Kim, J. Nang. An Analysis of Luminance Histogram and Correlation of Motion Vector for Unsuitable Frames for Frame Rate Up Conversion. Korean Institute of Information Scientists and Engineers. 2016;22(10):532-536. |
10 | Raghav Bansal, Gaurav Raj, Tanupriya Choudhury. Blur image detection using Laplacian operator and Open-CV. IEEE. 2017. |
11 | http://www.samsunghospital.com/home/healthInfo/content/contentList.do?CONT_CLS_CD=001020001&ST=DIS&TAB=DIS_NM&SW=%EC%9E%90%EA%B6%81%EA%B2%BD%EB%B6%80%EC%95%94, accessed on 2015. |
12 | Kang H-J. Efficient Fixed-Point Representation for ResNet50 Convolutional Neural Network. Journal of the Korea Institute of Information and Communication Engineering. 2018;22(1):1-8. DOI |
13 | Kim MK. Feature Extraction on a Periocular Region and Person Authentication Using a ResNet Model. Journal of Korea Multimedia Society. 2019;22(12):1,347-1,355. |
14 | Jeon S-S, Son K-Y, Lee J-H, Oh J-S, Son S-H. A Comparison Analysis on the Sales Price of Apartments according to G-SEED by Using T-test. Journal of the Autumn Academic Presentation Conference. 2019;19(2):207-208. |
15 | Wang J, Song Y, Leung T, Rosenberg C, Wang J, Philbin J, Chen B, Wu Y. Learning Fine-grained Image Similarity with Deep Ranking. IEEE. 2014:1,386-1,393 |
16 | http://www.amc.seoul.kr/asan/healthinfo/disease/diseaseDetail.do?contentId=31818, accessed on 2014. |
17 | Chandran V, Sumithra MG, Karthick A, George T, Deivakani M, Elakkiya B, Subramaniam U, Manoharan S. Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images. BioMed Research International. 2021;83-86 |
18 | Youngtak Cho, Kiok Ahn. Design and Implementation of Automated Detection System of Personal Identification Information for Surgical Video De-Identification. Journal of convergence security. 2019;19(5):75-84. |
19 | Song E-H, Kim J-J, Myung N-H, Park C-H. Spiral Brush in PapSure Test for Cervical Cancer Screening. Korean Journal of Gynecologic Oncology and Colposcopy. 2002;13(4):313-326. DOI |
20 | https://acsjournals.onlinelibrary.wiley.com/doi/full/10.3322/caac.21628, accessed on Jul. 30, 2020. |
![]() |