An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation

Heavily imbalanced datasets are common in lesion segmentation. Specifically, the lesions usually comprise less than 5% of the whole image volume when dealing with brain MRI. A common solution when training with a limited dataset is the use of specific loss functions that rebalance the effect of back...

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書誌詳細

主要な著者:	Mariano Cabezas, Yago Diez
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-03-01
シリーズ:	Sensors
主題:	medical imaging sensors magnetic resonance imaging brain lesion segmentation imbalanced dataset loss functions
オンライン･アクセス:	https://www.mdpi.com/1424-8220/24/6/1981
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