A sensitivity analysis of probability maps in deep‐learning‐based anatomical segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13331
Abstract: Abstract Purpose Deep‐learning‐based segmentation models implicitly learn to predict the presence of a structure based on its overall prominence in the training dataset. This phenomenon is observed and accounted for in deep‐learning applications such as… read more here.
Keywords: segmentation; anatomical segmentation; deep learning; learning based ... See more keywords
Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224005
Abstract: An automatic skin lesion segmentation algorithm not only facilitates the dermatologist’s workload on skin cancer analysis but also provides a platform for early cancer prediction. Over the years, several deep learning methods have been proposed… read more here.
Keywords: skin lesion; semi supervised; dice score; segmentation ... See more keywords
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3002417
Abstract: In many medical imaging and classical computer vision tasks, the Dice score and Jaccard index are used to evaluate the segmentation performance. Despite the existence and great empirical success of metric-sensitive losses, i.e. relaxations of… read more here.
Keywords: metric sensitive; dice score; jaccard index; segmentation ... See more keywords