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

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...

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Bibliographic Details
Main Authors: Wessam M. Salama, Moustafa H. Aly
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Alexandria Engineering Journal
Subjects:
Mammography
Breast cancer
Segmentation
Deep learning
U-Net
Transfer learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821002027

Internet

http://www.sciencedirect.com/science/article/pii/S1110016821002027

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