BraNet: a mobil application for breast image classification based on deep learning algorithms

Mobile health apps are widely used for breast cancer detection using artificial intelligence algorithms, providing radiologists with second opinions and reducing false diagnoses. This study aims to develop an open-source mobile app named “BraNet” for 2D breast imaging segmentation and classification...

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Veröffentlicht in:	Medical & biological engineering & computing Jg. 62; H. 9; S. 2737 - 2756
Hauptverfasser:	Jiménez-Gaona, Yuliana, Álvarez, María José Rodríguez, Castillo-Malla, Darwin, García-Jaen, Santiago, Carrión-Figueroa, Diana, Corral-Domínguez, Patricio, Lakshminarayanan, Vasudevan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2024 Springer Nature B.V
Schlagworte:	Abnormalities Accuracy Algorithms Applications programs Artificial intelligence asymmetry Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Breast cancer breast neoplasms Breasts Classification Computer Applications Deep learning Human Physiology image analysis Image classification Image processing Image segmentation Imaging Learning algorithms Machine learning Mammography Medical imaging Mobile computing Modular equipment Nodules Original Original Article Radiology Segmentation Synthetic data telemedicine ultrasonics Deep learning Breast cancer Mammography Mobil app Ultrasound
ISSN:	0140-0118, 1741-0444, 1741-0444
Online-Zugang:	Volltext
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