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Identifying pathological slices of gastric cancer via deep learning

  • Published:2022-12 Issue:12 Volume:121 Page:2457-2464
  • ISSN:0929-6646
  • Container-title:Journal of the Formosan Medical Association
  • language:en
  • Short-container-title:Journal of the Formosan Medical Association

Author:

Tung Chun-LiangORCID,Chang Han-ChengORCID,Yang Bo-ZhiORCID,Hou Keng-JenORCID,Tsai Hung-Hsu,Tsai Cheng-Yu,Yu Pao-Ta

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. Updates on management of gastric cancer;Johnston;Curr Oncol Rep,2019

2. Burden of gastric cancer;Thrift;Clin Gastroenterol Hepatol,2020

3. Cancer of the stomach - cancer stat facts". SEER. Retrieved 1 February 2020.

4. Stomach cancer. Accessed at ganjoho.jp/reg_stat/statistics/brochure/hosp_c_reg_surv.html on February 2, 2020.

5. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer;Bejnordi;JAMA,2017

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1. Molecular Biomarkers for Personalized Diagnosis and Treatment of Gastric Cancer Using Deep Learning Techniques;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy;npj Digital Medicine;2024-05-04

3. Pathological Diagnosis of Gastric Cancer Using Advanced MIFNET Algorithm;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

4. Breast lesion detection from DCE-MRI using YOLOv7;AIP Conference Proceedings;2024

5. Convolution Neural Network for Gastrointestinal Cancer Detection and Classification using Deep Learning;2023 International Conference on System, Computation, Automation and Networking (ICSCAN);2023-11-17
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