Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach
The significant challenge in detecting polyps in wireless capsule endoscopy and
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …
Attentional deep learning based efficient AGSDCLR unet model for gastrointestinal tract segmentation
SA Devi, S Gunta, SA Gutta, BA Kataru… - … Signal Processing and …, 2025 - Elsevier
Gastrointestinal (GI) tract disorders impact the digestive system. Excellent treatment
planning, precise disease detection, surveillance, and differential diagnosis all depend on …
planning, precise disease detection, surveillance, and differential diagnosis all depend on …
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting
AB Chłopowiec, AR Chłopowiec, K Galus… - arXiv preprint arXiv …, 2024 - arxiv.org
Limited medical imaging datasets challenge deep learning models by increasing risks of
overfitting and reduced generalization, particularly in Generative Adversarial Networks …
overfitting and reduced generalization, particularly in Generative Adversarial Networks …
UViT-Seg: An Efficient ViT and U-Net-Based Framework for Accurate Colorectal Polyp Segmentation in Colonoscopy and WCE Images
Colorectal cancer (CRC) stands out as one of the most prevalent global cancers. The
accurate localization of colorectal polyps in endoscopy images is pivotal for timely detection …
accurate localization of colorectal polyps in endoscopy images is pivotal for timely detection …
VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities
The human gastrointestinal (GI) tract is sus-ceptible to a myriad of diseases that can
profoundly impact health. Therefore, timely detection and intervention are critical in halting …
profoundly impact health. Therefore, timely detection and intervention are critical in halting …
Performance Comparison of Transformers and Convolutional Neural Networks (CNNs) Based Architecture on Endoscopy Images
S Yadav, P Aparna - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Endoscopy is a widely used medical imaging technique for diagnosing gastrointestinal (GI)
disorders. It allows doctors to visualize the internal organs without performing major surgery …
disorders. It allows doctors to visualize the internal organs without performing major surgery …
From diverse CT scans to generalization: towards robust abdominal organ segmentation
N Álvarez Llopis - 2024 - upcommons.upc.edu
Abdominal organ segmentation is a rapidly advancing area in medical imaging, boasting
numerous remarkable applications in clinical and research settings. Despite these …
numerous remarkable applications in clinical and research settings. Despite these …