A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
[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 …
Deep learning for image inpainting: A survey
Image inpainting has been widely exploited in the field of computer vision and image
processing. The main purpose of image inpainting is to produce visually plausible structure …
processing. The main purpose of image inpainting is to produce visually plausible structure …
Hardnet-mseg: A simple encoder-decoder polyp segmentation neural network that achieves over 0.9 mean dice and 86 fps
We propose a new convolution neural network called HarDNet-MSEG for polyp
segmentation. It achieves SOTA in both accuracy and inference speed on five popular …
segmentation. It achieves SOTA in both accuracy and inference speed on five popular …
Artificial intelligence and machine learning based intervention in medical infrastructure: a review and future trends
People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …
Y-net: A spatiospectral dual-encoder network for medical image segmentation
Automated segmentation of retinal optical coherence tomography (OCT) images has
become an important recent direction in machine learning for medical applications. We …
become an important recent direction in machine learning for medical applications. We …
Colorectal polyp segmentation by U-Net with dilation convolution
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers and a leading
cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the …
cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the …
[HTML][HTML] Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction
To decrease colon polyp miss-rate during colonoscopy, a real-time detection system with
high accuracy is needed. Recently, there have been many efforts to develop models for real …
high accuracy is needed. Recently, there have been many efforts to develop models for real …
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 …
Reconstruction of multicontrast MR images through deep learning
Purpose Magnetic resonance (MR) imaging with a long scan time can lead to degraded
images due to patient motion, patient discomfort, and increased costs. For these reasons …
images due to patient motion, patient discomfort, and increased costs. For these reasons …