A deep convolutional neural network for the detection of polyps in colonoscopy images
Colonic polyps detection remains an unsolved issue because of the wide variation in the
appearance, texture, color, size, and appearance of the multiple polyp-like imitators during …
appearance, texture, color, size, and appearance of the multiple polyp-like imitators during …
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images
Unsupervised anomaly detection (UAD) methods are trained with normal (or healthy)
images only, but during testing, they are able to classify normal and abnormal (or disease) …
images only, but during testing, they are able to classify normal and abnormal (or disease) …
CRCNet: Global-local context and multi-modality cross attention for polyp segmentation
J Zhu, M Ge, Z Chang, W Dong - Biomedical Signal Processing and Control, 2023 - Elsevier
Accurate polyp segmentation is important for the diagnosis and treatment of colon cancer. In
recent years, efforts have been made to improve the encoder-decoder framework by using …
recent years, efforts have been made to improve the encoder-decoder framework by using …
Contrastive transformer-based multiple instance learning for weakly supervised polyp frame detection
Current polyp detection methods from colonoscopy videos use exclusively normal (ie,
healthy) training images, which i) ignore the importance of temporal information in …
healthy) training images, which i) ignore the importance of temporal information in …
A multi-scale attention framework for automated polyp localization and keyframe extraction from colonoscopy videos
Colonoscopy video acquisition has been tremendously increased for retrospective analysis,
comprehensive inspection, and detection of polyps to diagnose colorectal cancer (CRC) …
comprehensive inspection, and detection of polyps to diagnose colorectal cancer (CRC) …
IPNet: An Interpretable Network with Progressive Loss for Whole-stage Colorectal Disease Diagnosis
J Fu, K Chen, Q Dou, Y Gao, Y He… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Colorectal cancer plays a dominant role in cancer-related deaths, primarily due to the
absence of obvious early-stage symptoms. Whole-stage colorectal disease diagnosis is …
absence of obvious early-stage symptoms. Whole-stage colorectal disease diagnosis is …
DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images
KN Wang, S Zhuang, QY Ran, P Zhou, J Hua… - Medical Image …, 2023 - Elsevier
Colorectal cancer is one of the malignant tumors with the highest mortality due to the lack of
obvious early symptoms. It is usually in the advanced stage when it is discovered. Thus the …
obvious early symptoms. It is usually in the advanced stage when it is discovered. Thus the …
GCCSwin-unet: Global context and cross-shaped windows vision transformer network for polyp segmentation
J Zhu, M Ge, Z Chang, W Dong - Processes, 2023 - mdpi.com
Accurate polyp segmentation is of great importance for the diagnosis and treatment of colon
cancer. Convolutional neural networks (CNNs) have made significant strides in the …
cancer. Convolutional neural networks (CNNs) have made significant strides in the …
SAFE-Net: Shape-aware and feature enhancement network for polyp segmentation
J Yu, L Qi - Biomedical Signal Processing and Control, 2025 - Elsevier
Precise identification of colon polyps, which are the principal precursors of colorectal cancer,
is crucial for accurate diagnosis and treatment. Current segmentation methods possess …
is crucial for accurate diagnosis and treatment. Current segmentation methods possess …
Flexible Colon Polyp Detection: A Dual Mode Approach for Detection and Segmentation of Colon Polyps with Optional Inpainting for Specular Highlight Mitigation
G Sushama, GC Menon - SN Computer Science, 2024 - Springer
Colorectal cancer (CRC) is one of the top ten cancers in terms of both incidence and
mortality rates in India, and it ranks among the top three cancers in the world. Early detection …
mortality rates in India, and it ranks among the top three cancers in the world. Early detection …