[PDF][PDF] Anas platyrhynchos optimizer with deep transfer learning-based gastric cancer classification on endoscopic images

MS Maashi, YAR Ali, A Motwakel, ASA Aziz… - Electronic Research …, 2023 - aimspress.com
Gastric Cancer (GC) has been identified as the world's fifth most general tumor. So, it is
important to diagnose the GC at initial stages itself to save the lives. Histopathological …

Deep learning for classification and localization of early gastric cancer in endoscopic images

L Ma, X Su, L Ma, X Gao, M Sun - Biomedical Signal Processing and …, 2023 - Elsevier
Gastric cancer, as a malignant tumor, is one of the most common cancer-related deaths
worldwide with high mortality and incidence rates. Therefore, the endoscopic detection of …

Computer Aided Diagnosis for Gastrointestinal Cancer Classification using Hybrid Rice Optimization with Deep Learning

OM Mirza, A Alsobhi, T Hasanin, MK Ishak… - IEEE …, 2023 - ieeexplore.ieee.org
A gastrointestinal disease is a group of cancers which mainly affects the digestive system,
along with the stomach, small intestine, oesophagus, rectum, and colon. Accurate …

Manta Ray Foraging Optimization Transfer Learning-Based Gastric Cancer Diagnosis and Classification on Endoscopic Images

F Alrowais, S S. Alotaibi, R Marzouk, A S. Salama… - Cancers, 2022 - mdpi.com
Simple Summary This paper aims to develops a new Manta Ray Foraging Optimization
Transfer Learning technique that is based on Gastric Cancer Diagnosis and Classification …

[PDF][PDF] Artificial intelligence applications in pathological diagnosis of gastric cancer

Y Deng, HY Qin, YY Zhou, HH Liu, Y Jiang, JP Liu… - Heliyon, 2022 - cell.com
Globally, gastric cancer is the third leading cause of death from tumors. Prevention and
individualized treatment are considered to be the best options for reducing the mortality rate …

Automatic classification of gastric lesions in gastroscopic images using a lightweight deep learning model with attention mechanism and cost-sensitive learning

L Wang, Y Yang, J Li, W Tian, K He, T Xu, Z Fang… - Frontiers in …, 2022 - frontiersin.org
Magnification endoscopy with narrow-band imaging (ME-NBI) technology is widely used in
the early diagnosis of precancerous lesions and gastric cancer, which is critical to reducing …

Improving classification performance in gastric disease through realistic data augmentation technique based on Poisson blending

H Lee, H Cho - Journal of Electrical Engineering & Technology, 2023 - Springer
Gastric cancer ranks fifth in incidence and fourth in mortality worldwide; thus, regular
gastroscopies are necessary to reduce its incidence and mortality rates. However …

Gastric pathology image classification using stepwise fine‐tuning for deep neural networks

J Qu, N Hiruta, K Terai, H Nosato… - Journal of healthcare …, 2018 - Wiley Online Library
Deep learning using convolutional neural networks (CNNs) is a distinguished tool for many
image classification tasks. Due to its outstanding robustness and generalization, it is also …

A comprehensive analysis of deep learning-based approaches for the prediction of gastrointestinal diseases using multi-class endoscopy images

P Bhardwaj, S Kumar, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
The human gastrointestinal (GI) system can be affected by various illnesses which results in
the death of about two million patients globally. Endoscopy helps to detect such diseases as …

Endoscopic Image Analysis for Gastrointestinal Tract Disease Diagnosis Using Nature Inspired Algorithm With Deep Learning Approach

A Alruban, E Alabdulkreem, MM Eltahir… - IEEE …, 2023 - ieeexplore.ieee.org
Endoscopic image analysis has played a pivotal function in the diagnosis and management
of gastrointestinal (GI) tract diseases. Gastrointestinal endoscopy is a medical procedure …