Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI

Breast segmentation and mass detection in medical images are important for diagnosis and treatment follow-up. Automation of these challenging tasks can assist radiologists by reducing the high manual workload of breast cancer analysis. In this paper, deep convolutional neural networks (DCNN) were em...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2020, Vol.2020 (2020), p.1-12
Hauptverfasser:	Huang, Yihua, Lin, Xiaofeng, Pang, Zhiyong, Jiang, Xinhua, Jiao, Han, Li, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Breast - diagnostic imaging Breast - pathology Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Computational Biology Contrast Media Databases, Factual - statistics & numerical data Female Humans Image Interpretation, Computer-Assisted - methods Image Interpretation, Computer-Assisted - statistics & numerical data Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Middle Aged Neural Networks, Computer Young Adult
Online-Zugang:	Volltext
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