Article

Investigation of Loss Functions for Improving Deep Segmentation of Abdominal Organs from MRI

2020-11-02

Abstract excerpt

Segmentation of Magnetic Resonance Images (MRI) of abdominal organs is useful for analysis prior to surgical procedures and for further processing. Deep Learning (DL) has become the standard, researchers have proposed improvements that include multiple views, ensembles and voting. Loss function alternatives, while being crucial to guide automated learning, have not been compared in detail. In this work we analyze...

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Literature Corpus work: 7b2ae793-065b-554f-b86e-e40e4dea65c6
DOI: 10.20944/preprints202011.0023.v1

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