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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …
their size, appearance, and location makes the detection of polyps challenging. Moreover …
[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
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 …
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
[PDF][PDF] Overview of ImageCLEFmedical 2023-Medical Visual Question Answering for Gastrointestinal Tract.
This paper provides an overview of the Medical Visual Question Answering for
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection
S Asif - Applied Soft Computing, 2024 - Elsevier
Accurate classification of gastrointestinal (GI) conditions from medical images is a critical
task for facilitating timely diagnosis and effective treatment. However, the reliance on manual …
task for facilitating timely diagnosis and effective treatment. However, the reliance on manual …
Optimized deep learning model for comprehensive medical image analysis across multiple modalities
SUR Khan, S Asif, M Zhao, W Zou, Y Li, X Li - Neurocomputing, 2025 - Elsevier
This study presents a novel amalgamated model for the diagnosis of multiple medical
conditions using various imaging modalities, including Chest X-ray, MRI, and endoscopic …
conditions using various imaging modalities, including Chest X-ray, MRI, and endoscopic …
Automated detection of colorectal polyp utilizing deep learning methods with explainable AI
Detecting colorectal polyps promptly and accurately is crucial in preventing the progression
of colorectal cancer. These polyps cause severe conditions in the colon or rectum …
of colorectal cancer. These polyps cause severe conditions in the colon or rectum …
Frontiers in intelligent colonoscopy
Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …
This study investigates the frontiers of intelligent colonoscopy techniques and their …
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy
Video capsule endoscopy has transformed gastrointestinal endoscopy (GIE) diagnostics by
offering a non-invasive method for capturing detailed images of the gastrointestinal tract …
offering a non-invasive method for capturing detailed images of the gastrointestinal tract …
[HTML][HTML] A complete benchmark for polyp detection, segmentation and classification in colonoscopy images
Introduction Colorectal cancer (CRC) is one of the main causes of deaths worldwide. Early
detection and diagnosis of its precursor lesion, the polyp, is key to reduce its mortality and to …
detection and diagnosis of its precursor lesion, the polyp, is key to reduce its mortality and to …
Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Model
Gastrointestinal cancer is the leading cause of cancer-related incidence and death.
Therefore, it is important to develop a novel computer-aided diagnosis system for early …
Therefore, it is important to develop a novel computer-aided diagnosis system for early …