Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

We consider the problem of segmenting a biomedical image into anatomical regions of interest. We specifically address the frequent scenario where we have no paired training data that contains images and their manual segmentations. Instead, we employ unpaired segmentation images that we use to build...

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Bibliographic Details
Main Authors: Dalca, Adrian Vasile, Guttag, John V., Sabuncu, Mert R.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: IEEE 2020
Online Access:https://hdl.handle.net/1721.1/125346

Internet

https://hdl.handle.net/1721.1/125346

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