Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer

A Zhang, H Zhao, F Li, P Liang, J Gao… - Frontiers in …, 2022 - frontiersin.org
Purpose Preoperative evaluation of lymph node metastasis (LNM) is the basis of
personalized treatment of locally advanced gastric cancer (LAGC). We aim to develop and …

Preoperative Prediction of Perineural Invasion and Prognosis in Gastric Cancer Based on Machine Learning through a Radiomics–Clinicopathological Nomogram

H Jia, R Li, Y Liu, T Zhan, Y Li, J Zhang - Cancers, 2024 - mdpi.com
Simple Summary Gastric cancer remains the world's fifth most lethal malignancy. Perineural
invasion (PNI) is a common growth pattern of gastric cancer. Currently, the diagnosis of PNI …

Gastric precancerous diseases classification using CNN with a concise model

X Zhang, W Hu, F Chen, J Liu, Y Yang, L Wang… - PloS one, 2017 - journals.plos.org
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 …

Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)

Z Lu, Y Xu, L Yao, W Zhou, W Gong, G Yang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims The optical diagnosis of colorectal cancer (CRC) invasion depth with
white light (WL) and image-enhanced endoscopy (IEE) remains challenging. We aimed to …

Deep-learning for the diagnosis of esophageal cancers and Precursor Lesions in endoscopic images: a Model Establishment and Nationwide Multicenter …

EJ Gong, CS Bang, K Jung, SJ Kim, JW Kim… - Journal of Personalized …, 2022 - mdpi.com
Background: Suspicion of lesions and prediction of the histology of esophageal cancers or
premalignant lesions in endoscopic images are not yet accurate. The local feature selection …

Artificial intelligence in gastric cancer: applications and challenges

R Cao, L Tang, M Fang, L Zhong, S Wang… - Gastroenterology …, 2022 - academic.oup.com
Gastric cancer (GC) is one of the most common malignant tumors with high mortality.
Accurate diagnosis and treatment decisions for GC rely heavily on human experts' careful …

Automated detection of gastric cancer by retrospective endoscopic image dataset using u-net r-cnn

A Teramoto, T Shibata, H Yamada, Y Hirooka, K Saito… - Applied Sciences, 2021 - mdpi.com
Upper gastrointestinal endoscopy is widely performed to detect early gastric cancers. As an
automated detection method for early gastric cancer from endoscopic images, a method …

[HTML][HTML] Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review

S Kuntz, E Krieghoff-Henning, JN Kather, T Jutzi… - European Journal of …, 2021 - Elsevier
Background Gastrointestinal cancers account for approximately 20% of all cancer diagnoses
and are responsible for 22.5% of cancer deaths worldwide. Artificial intelligence–based …

Development and validation of a real-time artificial intelligence-assisted system for detecting early gastric cancer: A multicentre retrospective diagnostic study

D Tang, L Wang, T Ling, Y Lv, M Ni, Q Zhan, Y Fu… - …, 2020 - thelancet.com
Background We aimed to develop and validate a real-time deep convolutional neural
networks (DCNNs) system for detecting early gastric cancer (EGC). Methods All 45,240 …

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

H Luo, G Xu, C Li, L He, L Luo, Z Wang, B Jing… - The Lancet …, 2019 - thelancet.com
Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …