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 …
usually diagnosed at an advanced stage when it is often too late for effective treatment …
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images
B Fu, M Zhang, J He, Y Cao, Y Guo, R Wang - Computer Methods and …, 2022 - Elsevier
Background and objectives Gastric cancer has high morbidity and mortality compared to
other cancers. Accurate histopathological diagnosis has great significance for the treatment …
other cancers. Accurate histopathological diagnosis has great significance for the treatment …
Artificial intelligence and deep learning for upper gastrointestinal neoplasia
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …
Performance of an artificial intelligence‐based diagnostic support tool for early gastric cancers: Retrospective study
M Ishioka, H Osawa, T Hirasawa… - Digestive …, 2023 - Wiley Online Library
Objectives Endoscopists' abilities to diagnose early gastric cancers (EGCs) vary, especially
between specialists and nonspecialists. We developed an artificial intelligence (AI)‐based …
between specialists and nonspecialists. We developed an artificial intelligence (AI)‐based …
Gastric precancerous diseases classification using CNN with a concise model
Gastric precancerous diseases (GPD) may deteriorate into early gastric cancer if
misdiagnosed, so it is important to help doctors recognize GPD accurately and quickly. In …
misdiagnosed, so it is important to help doctors recognize GPD accurately and quickly. In …
Diagnosis and segmentation effect of the ME-NBI-based deep learning model on gastric neoplasms in patients with suspected superficial lesions-a multicenter study
L Liu, Z Dong, J Cheng, X Bu, K Qiu, C Yang… - Frontiers in …, 2023 - frontiersin.org
Background Endoscopically visible gastric neoplastic lesions (GNLs), including early gastric
cancer and intraepithelial neoplasia, should be accurately diagnosed and promptly treated …
cancer and intraepithelial neoplasia, should be accurately diagnosed and promptly treated …
Artificial intelligence for upper gastrointestinal endoscopy: a roadmap from technology development to clinical practice
Stomach cancer is the third deadliest type of cancer in the world (0.86 million deaths in
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …
A novel model based on deep convolutional neural network improves diagnostic accuracy of intramucosal gastric cancer (with video)
D Tang, J Zhou, L Wang, M Ni, M Chen… - Frontiers in …, 2021 - frontiersin.org
Background and Aims Prediction of intramucosal gastric cancer (GC) is a big challenge. It is
not clear whether artificial intelligence could assist endoscopists in the diagnosis. Methods A …
not clear whether artificial intelligence could assist endoscopists in the diagnosis. Methods A …
Deep learning based on hematoxylin–eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma
N Flinner, S Gretser, A Quaas, K Bankov… - The journal of …, 2022 - Wiley Online Library
In gastric cancer (GC), there are four molecular subclasses that indicate whether patients
respond to chemotherapy or immunotherapy, according to the TCGA. In clinical practice …
respond to chemotherapy or immunotherapy, according to the TCGA. In clinical practice …
Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
Y Zhu, QC Wang, MD Xu, Z Zhang, J Cheng… - Gastrointestinal …, 2019 - Elsevier
Background and Aims According to guidelines, endoscopic resection should only be
performed for patients whose early gastric cancer invasion depth is within the mucosa or …
performed for patients whose early gastric cancer invasion depth is within the mucosa or …