MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Med Image Comput Comput Assist Interv. 2022 Sep;13434:639-652. doi: 10.1007/978-3-031-16440-8_61. Epub 2022 Sep 16.ABSTRACTContrastive learning (CL) aims to learn useful representation without relying on expert annotations in the context of medical image segmentation. Existing approaches mainly contrast a single positive vector (i.e., an augmentation of the same image) against a set of negatives within the entire remainder of the batch by simply mapping all input features into the same constant vector. Despite the impressive empirical performance, those methods have the following shortcomings: (1) it remains a formidable c...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - July 19, 2023 Category: Radiology Authors: Chenyu You Ruihan Zhao Lawrence Staib James S Duncan Source Type: research
