[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

LF Sanchez-Peralta, L Bote-Curiel, A Picon… - Artificial intelligence in …, 2020 - Elsevier
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 …

A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks

A Krenzer, M Banck, K Makowski, A Hekalo, D Fitting… - Journal of …, 2023 - mdpi.com
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 …

Fully convolutional neural networks for polyp segmentation in colonoscopy

P Brandao, E Mazomenos, G Ciuti… - Medical Imaging …, 2017 - spiedigitallibrary.org
Colorectal cancer (CRC) is one of the most common and deadliest forms of cancer,
accounting for nearly 10% of all forms of cancer in the world. Even though colonoscopy is …

[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 …

Real-time polyp detection, localization and segmentation in colonoscopy using deep learning

D Jha, S Ali, NK Tomar, HD Johansen… - Ieee …, 2021 - ieeexplore.ieee.org
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …

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 …

Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations

K Li, MI Fathan, K Patel, T Zhang, C Zhong, A Bansal… - Plos one, 2021 - journals.plos.org
Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality
rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be …

Automatic detection and classification of colorectal polyps by transferring low-level CNN features from nonmedical domain

R Zhang, Y Zheng, TWC Mak, R Yu… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although
polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and …

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 …

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat… - Scientific Reports, 2024 - nature.com
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …