Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach

Breast cancer is the most frequent female cancer, with a considerable disease burden and high mortality. Early diagnosis with screening mammography might be facilitated by automated systems supported by deep learning artificial intelligence. We propose a model based on a weakly supervised Clustering...

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Vydané v:	Cancers Ročník 15; číslo 10; s. 2704
Hlavní autori:	Bobowicz, Maciej, Rygusik, Marlena, Buler, Jakub, Buler, Rafał, Ferlin, Maria, Kwasigroch, Arkadiusz, Szurowska, Edyta, Grochowski, Michał
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 10.05.2023 MDPI
Predmet:	Algorithms Artificial intelligence Breast cancer Cancer Classification Comparative analysis Data mining Datasets Deep learning Diagnosis Lesions Machine learning Mammography Medical diagnosis Oncology, Experimental Transfer learning scarcity of data attention maps breast cancer multimodal learning machine learning weakly supervised learning digital mammography artificial intelligence breast lesion classification
ISSN:	2072-6694, 2072-6694
On-line prístup:	Získať plný text
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