[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI

MF Ahamed, M Nahiduzzaman, MR Islam… - Expert Systems with …, 2024 - Elsevier
The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …

[HTML][HTML] GastroVRG: Enhancing early screening in gastrointestinal health via advanced transfer features

MS Islam, MAT Rony, T Sultan - Intelligent Systems with Applications, 2024 - Elsevier
The accurate classification of endoscopic images is a challenging yet critical task in medical
diagnostics, which directly affects the treatment and management of Gastrointestinal …

[HTML][HTML] Deep insights into gastrointestinal health: A comprehensive analysis of GastroVision dataset using convolutional neural networks and explainable AI

M Fahad, NE Mobeen, AS Imran, SM Daudpota… - … Signal Processing and …, 2025 - Elsevier
The gastrointestinal (GI) tract is critical in digestion and nutrient absorption, thus vital for
human health. However, it is prone to diseases like cancer. Manual assessments introduce …

Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning

P Bhardwaj, SK Kim, A Koul, Y Kumar… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Methods This research aims to utilize endoscopic images to identify various gastric
disorders using an advanced Convolutional Neural Network (CNN) model. The Kvasir …

[HTML][HTML] Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

T Hossain, FMJM Shamrat, X Zhou, I Mahmud… - PeerJ Computer …, 2024 - peerj.com
Gastrointestinal (GI) diseases are prevalent medical conditions that require accurate and
timely diagnosis for effective treatment. To address this, we developed the Multi-Fusion …

Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques

AMJMD Zubair Rahman, R Mythili… - BMC Medical …, 2024 - Springer
The early detection and diagnosis of gastrointestinal tract diseases, such as ulcerative
colitis, polyps, and esophagitis, are crucial for timely treatment. Traditional imaging …

[PDF][PDF] Stomach Disorder Detection and Analysis using Hybrid Learning Vector Quantization with African Buffalo Optimization Algorithm.

M Baljon - International Journal of Mathematical, Engineering & …, 2024 - researchgate.net
The human digestive system's electrical activity may be recorded noninvasively by
Electrogastrography (EGG). Electrogastrograms are recordings of the electrical activity …

Enhancing Text-to-Image Model Evaluation: SVCS and UCICM

SR Varsini - 2023 6th International Conference on Recent …, 2023 - ieeexplore.ieee.org
As the world gradually embraces the integration of AI into various applications, there is a
growing need for methods to enhance and evaluate AI-based technologies. One such a …

Enhancement of Diagnostic Accuracy of Colon Diseases Using Multi-Class Classification Technique and Endoscopic Images

R Kumar, V Anand, S Gupta - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Colon diseases are a significant health concern worldwide, with conditions such as polyps,
esophagitis, and ulcerative diseases posing substantial risks to patients. Early and accurate …

Esophageal Cancer Classification in Initial Stages Using Deep and Transfer Learning

RY Aburasain - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
The sixth most frequent cancer and one with the highest death rate is esophageal cancer
(EC). Initial diagnosis might increase the survival level of people with esophageal …