Deep learning in mammography images segmentation and classification: Automated CNN approach

In this work, a new framework for breast cancer image segmentation and classification is proposed. Different models including InceptionV3, DenseNet121, ResNet50, VGG16 and MobileNetV2 models, are applied to classify Mammographic Image Analysis Society (MIAS), Digital Database for Screening Mammograp...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Wessam M. Salama, Moustafa H. Aly
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2021-10-01
Edice:	Alexandria Engineering Journal
Témata:	Mammography Breast cancer Segmentation Deep learning U-Net Transfer learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1110016821002027
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!