Unsupervised Learning Techniques for Breast Lesion Segmentation on MRI Images: Are We Ready for Automation?

Unsupervised Learning Techniques for Breast Lesion Segmentation on MRI Images: Are We Ready for Automation?

In the era of precision medicine, increasing importance is given to machine learning (ML) applications. In breast cancer, advanced analyses, such as the radiomic process, characterise tumours and predict therapy responses. Breast magnetic resonance imaging (MRI) plays a key role in screening, stagin...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Marina Fedon Vocaturo, Luisa Altabella, Giuseppe Cardano, Stefania Montemezzi, Carlo Cavedon
Format:	Artykuł
Język:	English
Wydane:	MDPI AG 2025-02-01
Seria:	Applied Sciences
Hasła przedmiotowe:	machine learning deep learning segmentation breast lesion segmentation breast magnetic resonance imaging breast cancer
Dostęp online:	https://www.mdpi.com/2076-3417/15/5/2401

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