A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach

Manual segmentation of breast lesions is a tedious and time-consuming task. The existing state-of-the-art studies are evaluated on single modalities, i.e., either on mammogram or ultrasound thereby having limited clinical application. The limitations stated above motivated us to develop a Computer-A...

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Bibliographic Details
Published in:	Signal, image and video processing Vol. 17; no. 5; pp. 1955 - 1963
Main Authors:	Atrey, Kushangi, Singh, Bikesh Kumar, Roy, Abhijit, Bodhey, Narendra Kuber
Format:	Journal Article
Language:	English
Published:	London Springer London 01.07.2023 Springer Nature B.V
Subjects:	Algorithms Breast cancer Computer Imaging Computer Science Customization Data augmentation Image Processing and Computer Vision Ionizing radiation Lesions Machine learning Mammography Multimedia Information Systems Original Paper Pattern Recognition and Graphics Radiation Real time Signal,Image and Speech Processing State-of-the-art reviews Statistical correlation Tumors Ultrasonic imaging Vision United States > US India Mammogram Breast cancer Transfer learning Ultrasound Computer-aided segmentation Dual-modality segmentation
ISSN:	1863-1703, 1863-1711
Online Access:	Get full text
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