Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

• Published in: IEEE journal of biomedical and health informatics Vol. 22; no. 4; pp. 1218 - 1226
• Main Authors: Yap, Moi Hoon, Pons, Gerard, Marti, Joan, Ganau, Sergi, Sentis, Melcior, Zwiggelaar, Reyer, Davison, Adrian K., Marti, Robert
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Automation; Benign; Breast; Breast cancer; convolutional neural networks; Datasets; Deformation; Filtering; Formability; Fractals; Image acquisition; Imaging; lesion detection; Lesions; Machine learning; Neural networks; State of the art; Transfer learning; Ultrasonic imaging; Ultrasound; ultrasound imaging

Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of a common dataset impedes research when comparing...