Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Y Horie, T Yoshio, K Aoyama, S Yoshimizu… - Gastrointestinal …, 2019 - Elsevier
Background and Aims The prognosis of esophageal cancer is relatively poor. Patients are
usually diagnosed at an advanced stage when it is often too late for effective treatment …
被引用次数：425 相关文章

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Y Horie, T Yoshio, K Aoyama… - Gastrointestinal …, 2019 - pubmed.ncbi.nlm.nih.gov
Background and aims The prognosis of esophageal cancer is relatively poor. Patients are
usually diagnosed at an advanced stage when it is often too late for effective treatment …

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Y Horie, T Yoshio, K Aoyama, S Yoshimizu… - Gastrointestinal …, 2018 - europepmc.org
Methods We retrospectively collected 8428 training images of esophageal cancer from 384
patients at the Cancer Institute Hospital, Japan. Using these, we developed deep learning …

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Y Horie, T Yoshio, K Aoyama, S Yoshimizu… - Gastrointestinal …, 2019 - giejournal.org
Background and Aims The prognosis of esophageal cancer is relatively poor. Patients are
usually diagnosed at an advanced stage when it is often too late for effective treatment …

[引用][C] Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Y Horie, T Yoshio, K Aoyama, S Yoshimizu… - Gastrointestinal …, 2019 - cir.nii.ac.jp
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional
neural networks | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …

[引用][C] Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Y Horie - Gastrointest. Endosc. - cir.nii.ac.jp