[HTML][HTML] Deep neural networks approaches for detecting and classifying colorectal polyps
A Nogueira-Rodríguez, R Domínguez-Carbajales… - Neurocomputing, 2021 - Elsevier
Deep Learning (DL) has attracted a lot of attention in the field of medical image analysis
because of its higher performance in image classification when compared to previous state …
because of its higher performance in image classification when compared to previous state …
[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
An ensemble-based deep convolutional neural network for computer-aided polyps identification from colonoscopy
Colorectal cancer (CRC) is the third leading cause of cancer death globally. Early detection
and removal of precancerous polyps can significantly reduce the chance of CRC patient …
and removal of precancerous polyps can significantly reduce the chance of CRC patient …
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches
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 …
its mortality rate have attracted interest in the use of artificial intelligence (AI) based …
A robust real-time deep learning based automatic polyp detection system
I Pacal, D Karaboga - Computers in Biology and Medicine, 2021 - Elsevier
Colorectal cancer (CRC) is globally the third most common type of cancer. Colonoscopy is
considered the gold standard in colorectal cancer screening and allows for the removal of …
considered the gold standard in colorectal cancer screening and allows for the removal of …
LDPolypVideo benchmark: a large-scale colonoscopy video dataset of diverse polyps
Abstract Computer-Aided Diagnosis (CAD) systems for polyp detection provide essential
support for colorectal cancer screening and prevention. Recently, deep learning technology …
support for colorectal cancer screening and prevention. Recently, deep learning technology …
Detection and classification of colorectal polyp using deep learning
S Tanwar, S Vijayalakshmi… - BioMed Research …, 2022 - Wiley Online Library
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 …
increasing day by day. So, timely and accurate diagnosis is required to save the life of …
A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
Detection of colorectal polyps from colonoscopy using machine learning: A survey on modern techniques
K ELKarazle, V Raman, P Then, C Chua - Sensors, 2023 - mdpi.com
Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …
medical sector, colorectal polyp detection and classification using deep learning techniques …
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 …