Application of artificial intelligence in early gastric cancer diagnosis

Z Xiao, D Ji, F Li, Z Li, Z Bao - Digestion, 2022 - karger.com
Background: With the development of new technologies such as magnifying endoscopy with
narrow band imaging, endoscopists achieved better accuracy for diagnosis of gastric cancer …

Deep learning and gastric cancer: systematic review of AI-assisted endoscopy

E Klang, A Soroush, GN Nadkarni, K Sharif, A Lahat - Diagnostics, 2023 - mdpi.com
Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …

[HTML][HTML] Advances in the Aetiology & Endoscopic Detection and management of early gastric cancer

D Kohoutova, M Banks, J Bures - Cancers, 2021 - mdpi.com
Simple Summary Gastric adenocarcinoma has remained a highly lethal disease. Awareness
and recognition of preneoplastic conditions (including gastric atrophy and intestinal …

[HTML][HTML] Artificial intelligence applications in computed tomography in gastric cancer: a narrative review

T Ma, H Wang, Z Ye - Translational Cancer Research, 2023 - ncbi.nlm.nih.gov
Artificial intelligence applications in computed tomography in gastric cancer: a narrative review
- PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …

Active ingredients Isorhamnetin of Croci Srigma inhibit stomach adenocarcinomas progression by MAPK/mTOR signaling pathway

X Shi, Q Yu, K Wang, Y Fu, S Zhang, Z Liao, Y Li… - Scientific Reports, 2023 - nature.com
Gastric cancer (GC) remains the third leading cause of cancer-related mortality in the world,
and ninety-five percent of GC are stomach adenocarcinomas (STAD). The active ingredients …

A machine learning-based radiomics model for prediction of tumor mutation burden in gastric cancer

T Ma, Y Zhang, M Zhao, L Wang, H Wang, Z Ye - Frontiers in Genetics, 2023 - frontiersin.org
Purpose: To evaluate the potential of machine learning (ML)-based radiomics approach for
predicting tumor mutation burden (TMB) in gastric cancer (GC). Methods: The contrast …

Multi-scale boundary neural network for gastric tumor segmentation

P Wang, Y Li, Y Sun, D He, Z Wang - The Visual Computer, 2023 - Springer
At present, gastric cancer patients account for a large proportion of all tumor patients. Gastric
tumor image segmentation can provide a reliable additional basis for the clinical analysis …

[HTML][HTML] 早期胃癌内镜诊断技术的研究进展

徐真, 刘兵, 聂娇, 鲁临, 张晴晴, 杜超 - Advances in Clinical Medicine, 2023 - hanspub.org
胃癌是我国发病率和病死率较高的恶性肿瘤, 其预后与肿瘤分期密切相关. 早期胃癌预后好,
病死率低. 当前我国早期胃癌诊断率低下, 提高对早期胃癌可疑病灶检测和精准活检的能力对 …

Application of artificial intelligence in endoscopic gastrointestinal tumors

Y Xin, Q Zhang, X Liu, B Li, T Mao, X Li - Frontiers in Oncology, 2023 - frontiersin.org
With an increasing number of patients with gastrointestinal cancer, effective and accurate
early diagnostic clinical tools are required provide better health care for patients with …

Mucin Phenotype and microvessels in early gastic cancer: Magnifying endoscopy with narrow band imaging

Q Zheng, Y Peng, HX Liu, HQ Cao, FF Li - Heliyon, 2024 - cell.com
Backgrounds In order to detect early gastric cancer (EGC), this research sought to assess
the diagnostic utility of magnifying endoscopy (ME) as well as the significance of mucin …