Cited by CrossRef (12)

  1. Yuxue Zhao, Bo Hu, Ying Wang, Xiaomeng Yin, Yuanyuan Jiang, Xiuli Zhu. Identification of gastric cancer with convolutional neural networks: a systematic review. Multimed Tools Appl 2022;81:11717
    https://doi.org/10.1007/s11042-022-12258-8
  2. Bangkang Fu, Mudan Zhang, Junjie He, Ying Cao, Yuchen Guo, Rongpin Wang. StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. Computer Methods and Programs in Biomedicine 2022;221:106924
    https://doi.org/10.1016/j.cmpb.2022.106924
  3. JaeYen Song, Soyoung Im, Sung Hak Lee, Hyun-Jong Jang. Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images. Diagnostics 2022;12:2623
    https://doi.org/10.3390/diagnostics12112623
  4. Hyun-Jong Jang, Ahwon Lee, Jun Kang, In Hye Song, Sung Hak Lee. Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach. WJG 2021;27:7687
    https://doi.org/10.3748/wjg.v27.i44.7687
  5. . .
    https://doi.org/
  6. Juan Li, Pan Jiang, Qing An, Gai-Ge Wang, Hua-Feng Kong. Medical image identification methods: A review. Computers in Biology and Medicine 2023:107777
    https://doi.org/10.1016/j.compbiomed.2023.107777
  7. . .
    https://doi.org/
  8. Hyun-Jong Jang, In-Hye Song, Sung-Hak Lee. Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images. Cancers 2021;13:3811
    https://doi.org/10.3390/cancers13153811
  9. Sung Hak Lee, In Hye Song, Hyun‐Jong Jang. Feasibility of deep learning‐based fully automated classification of microsatellite instability in tissue slides of colorectal cancer. Intl Journal of Cancer 2021;149:728
    https://doi.org/10.1002/ijc.33599
  10. Shiliang Ai, Chen Li, Xiaoyan Li, Tao Jiang, Marcin Grzegorzek, Changhao Sun, Md Mamunur Rahaman, Jinghua Zhang, Yudong Yao, Hong Li, Yong Xia. A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development. BioMed Research International 2021;2021:1
    https://doi.org/10.1155/2021/6671417
  11. Hyun-Jong Jang, Ahwon Lee, J Kang, In Hye Song, Sung Hak Lee. Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning. WJG 2020;26:6207
    https://doi.org/10.3748/wjg.v26.i40.6207
  12. Hyun-Jong Jang, In Hye Song, Sung Hak Lee. Generalizability of Deep Learning System for the Pathologic Diagnosis of Various Cancers. Applied Sciences 2021;11:808
    https://doi.org/10.3390/app11020808
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