[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
However, existing methods are less accurate and prone to overlooking lesions during …
However, existing methods are less accurate and prone to overlooking lesions during …
Li-SegPNet: Encoder-decoder mode lightweight segmentation network for colorectal polyps analysis
Objective: One of the fundamental and crucial tasks for the automated diagnosis of
colorectal cancer is the segmentation of the acute gastrointestinal lesions, most commonly …
colorectal cancer is the segmentation of the acute gastrointestinal lesions, most commonly …
Multi-Scale Contourlet Knowledge Guide Learning Segmentation
For accurate segmentation, effective feature extraction has always been a challenging
problem, since the variability of appearance and the fuzziness of object boundaries …
problem, since the variability of appearance and the fuzziness of object boundaries …
LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification
The traditional process of disease diagnosis from medical images follows a manual process,
which is tedious and arduous. A computer‐aided diagnosis (CADs) system can work as an …
which is tedious and arduous. A computer‐aided diagnosis (CADs) system can work as an …
Effectiveness of encoder-decoder deep learning approach for colorectal polyp segmentation in colonoscopy images
Colorectal cancer is considered one of the deadliest diseases, contributing to an alarming
increase in annual deaths worldwide, with colorectal polyps recognized as precursors to this …
increase in annual deaths worldwide, with colorectal polyps recognized as precursors to this …
PolySeg Plus: Polyp Segmentation Using Deep Learning with Cost Effective Active Learning
A deep convolution neural network image segmentation model based on a cost-effective
active learning mechanism is proposed and named PolySeg Plus. It is intended to address …
active learning mechanism is proposed and named PolySeg Plus. It is intended to address …
EU-Net: Efficient U-shaped Deep Convolutional Neural Network for Colon Polyps Segmentation
Deep learning has emerged as a transformative approach in the realm of polyp
segmentation within colonoscopy images. In the pursuit of advancing this segmentation …
segmentation within colonoscopy images. In the pursuit of advancing this segmentation …