A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain MRI
In this study, we introduce “instance loss functions”, a new family of loss functions designed to enhance the training of neural networks in the instance-level segmentation and detection of objects in biomedical image data, particularly those of varied numbers and sizes. Intended to be utilized conj...
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Published in | Computers in biology and medicine Vol. 174; p. 108414 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
01.05.2024
Elsevier Limited |
Subjects | |
Online Access | Get full text |
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