Automatic detection of colorectal polyps with mixed convolutions and its occlusion testing

P Handa, N Goel, S Indu, D Gunjan - Neural Computing and Applications, 2023 - Springer
Manual detection of colorectal polyps in the colonoscopy videos during diagnosis of
colorectal cancer can be challenging due to the large no. of sequential frames and high …

Automated colorectal polyp detection based on image enhancement and dual-path CNN architecture

JS Nisha, VP Gopi, P Palanisamy - Biomedical Signal Processing and …, 2022 - Elsevier
Colorectal Cancer (CRC) has the highest mortality rate of all cancers and is currently the
third leading cause of cancer-related death worldwide. The early detection and diagnosis of …

[HTML][HTML] Detection and classification of colorectal polyp using deep learning

S Tanwar, S Vijayalakshmi, M Sabharwal… - BioMed Research …, 2022 - ncbi.nlm.nih.gov
Colorectal Cancer (CRC) is the third most dangerous cancer in the world and also
increasing day by day. So, timely and accurate diagnosis is required to save the life of …

Automatic colon polyp detection using region based deep CNN and post learning approaches

Y Shin, HA Qadir, L Aabakken, J Bergsland… - IEEE …, 2018 - ieeexplore.ieee.org
Automatic image detection of colonic polyps is still an unsolved problem due to the large
variation of polyps in terms of shape, texture, size, and color, and the existence of various …

Effect of selection bias on automatic colonoscopy polyp detection

H Mangotra, N Goel - Biomedical Signal Processing and Control, 2023 - Elsevier
Despite the successful demonstration of the deep learning architectures for Automatic
Colonoscopy Polyp Detection (ACPD), studies have argued upon human bias, and lack of …

Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches

WS Liew, TB Tang, CH Lin, CK Lu - Computer Methods and Programs in …, 2021 - Elsevier
Abstract Background and Objective The increased incidence of colorectal cancer (CRC) and
its mortality rate have attracted interest in the use of artificial intelligence (AI) based …

Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker

R Zhang, Y Zheng, CCY Poon, D Shen, JYW Lau - Pattern recognition, 2018 - Elsevier
A computer-aided detection (CAD) tool for locating and detecting polyps can help reduce the
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …

Polyp detection using CNNs in colonoscopy video

A Haj‐Manouchehri, HM Mohammadi - IET Computer Vision, 2020 - Wiley Online Library
Polyps are a group of cells growing on the inner surface of the colon. Over time, some
polyps can lead to colon cancer, which is often fatal if found in its later stages. Colon cancer …

A deep convolutional neural network for the detection of polyps in colonoscopy images

T Rahim, SA Hassan, SY Shin - Biomedical Signal Processing and Control, 2021 - Elsevier
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 …

Colonic polyp detection in endoscopic videos with single shot detection based deep convolutional neural network

M Liu, J Jiang, Z Wang - IEEE Access, 2019 - ieeexplore.ieee.org
A major rise in the prevalence and influence of colorectal cancer (CRC) leads to
substantially increasing healthcare costs and even death. It is widely accepted that early …