Non-local attention and densely-connected convolutional neural networks for malignancy suspiciousness classification of gastric ulcer

M Sun, K Liang, W Zhang, Q Chang, X Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
Gastric ulcer is one of the most common types of stomach disease. Malignancy
suspiciousness classification of gastric ulcer is a crucial indicator for early cancer detection …

Differentiation between malignant and benign endoscopic images of gastric ulcers using deep learning

E Klang, Y Barash, A Levartovsky… - Clinical and …, 2021 - Taylor & Francis
Background and Aim Endoscopic differentiation between malignant and benign gastric
ulcers (GU) affects further evaluation and prognosis. The aim of our study was to evaluate a …

A novel approach for increased convolutional neural network performance in gastric-cancer classification using endoscopic images

SA Lee, HC Cho, HC Cho - IEEE Access, 2021 - ieeexplore.ieee.org
Gastric cancer is the third-most-common cause of cancer-related deaths in the world.
Fortunately, it can be detected using endoscopy equipment. Computer-aided diagnosis …

[HTML][HTML] A robust deep model for classification of peptic ulcer and other digestive tract disorders using endoscopic images

S Mahmood, MMS Fareed, G Ahmed, F Dawood… - Biomedicines, 2022 - mdpi.com
Accurate patient disease classification and detection through deep-learning (DL) models are
increasingly contributing to the area of biomedical imaging. The most frequent …

MCLNet: An multidimensional convolutional lightweight network for gastric histopathology image classification

X Fu, S Liu, C Li, J Sun - Biomedical Signal Processing and Control, 2023 - Elsevier
As global cancer, gastric cancer is a severe threat to the health of people all over the world.
In China, young people easily misdiagnose gastric cancer, and its misdiagnosis rate can be …

Spotting malignancies from gastric endoscopic images using deep learning

JH Lee, YJ Kim, YW Kim, S Park, Y Choi, YJ Kim… - Surgical …, 2019 - Springer
Background Gastric cancer is a common kind of malignancies, with yearly occurrences
exceeding one million worldwide in 2017. Typically, ulcerous and cancerous tissues …

Deep learning-enabled classification of gastric ulcers from wireless capsule endoscopic images

D Bajhaiya, SN Unni - Medical Imaging 2022: Digital and …, 2022 - spiedigitallibrary.org
The detection of gastric ulcers is commonly carried out during clinical interventions. It poses
many challenges, such as extended time of diagnosis, requirement for clinical expertise, and …

Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systems

K Namikawa, T Hirasawa, K Nakano, Y Ikenoyama… - …, 2020 - thieme-connect.com
Background We previously reported for the first time the usefulness of artificial intelligence
(AI) systems in detecting gastric cancers. However, the “original convolutional neural …

Gastrointestinal disease classification in endoscopic images using attention-guided convolutional neural networks

ZM Lonseko, PE Adjei, W Du, C Luo, D Hu, L Zhu… - Applied Sciences, 2021 - mdpi.com
Gastrointestinal (GI) diseases constitute a leading problem in the human digestive system.
Consequently, several studies have explored automatic classification of GI diseases as a …

Multi-module attention-guided deep learning framework for precise gastrointestinal disease identification in endoscopic imagery

SD Khan, S Basalamah, A Lbath - Biomedical Signal Processing and …, 2024 - Elsevier
The automated classification of gastrointestinal endoscopy images holds immense
importance in modern health care. It streamlines the diagnostic process by enabling faster …