Artificial intelligence in colorectal cancer screening, diagnosis and treatment. A new era
A Mitsala, C Tsalikidis, M Pitiakoudis, C Simopoulos… - Current …, 2021 - mdpi.com
The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …
with great success. The widespread use of AI technology in diagnosing and treating several …
Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions
OF Ahmad, AS Soares, E Mazomenos… - The lancet …, 2019 - thelancet.com
Computer-aided diagnosis offers a promising solution to reduce variation in colonoscopy
performance. Pooled miss rates for polyps are as high as 22%, and associated interval …
performance. Pooled miss rates for polyps are as high as 22%, and associated interval …
Cross-level feature aggregation network for polyp segmentation
Accurate segmentation of polyps from colonoscopy images plays a critical role in the
diagnosis and cure of colorectal cancer. Although effectiveness has been achieved in the …
diagnosis and cure of colorectal cancer. Although effectiveness has been achieved in the …
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …
colonoscopy procedures. Even though many methods have been built to tackle automatic …
Convolutional neural networks for medical image analysis: Full training or fine tuning?
N Tajbakhsh, JY Shin, SR Gurudu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Training a deep convolutional neural network (CNN) from scratch is difficult because it
requires a large amount of labeled training data and a great deal of expertise to ensure …
requires a large amount of labeled training data and a great deal of expertise to ensure …
WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
We introduce in this paper a novel polyp localization method for colonoscopy videos. Our
method is based on a model of appearance for polyps which defines polyp boundaries in …
method is based on a model of appearance for polyps which defines polyp boundaries in …
Automated polyp detection in colonoscopy videos using shape and context information
N Tajbakhsh, SR Gurudu, J Liang - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper presents the culmination of our research in designing a system for computer-
aided detection (CAD) of polyps in colonoscopy videos. Our system is based on a hybrid …
aided detection (CAD) of polyps in colonoscopy videos. Our system is based on a hybrid …
Artificial intelligence-assisted polyp detection for colonoscopy: initial experience
The adenoma detection rate is an established quality indicator for colonoscopy. For
instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease …
instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease …
[HTML][HTML] Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Background Colonoscopy remains the gold-standard screening for colorectal cancer.
However, significant miss rates for polyps have been reported, particularly when there are …
However, significant miss rates for polyps have been reported, particularly when there are …
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
Colonoscopy is the gold standard for colon cancer screening though some polyps are still
missed, thus preventing early disease detection and treatment. Several computational …
missed, thus preventing early disease detection and treatment. Several computational …