CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images

Undoubtedly breast cancer identifies itself as one of the most widespread and terrifying cancers across the globe. Millions of women are getting affected each year from it. Breast cancer remains the major one for being the reason of largest number of demise of women. In the recent time of research,...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	Banerjee, Sheekar, Md Kamrul Hasan Monir
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Breast cancer Computer Science - Computer Vision and Pattern Recognition Deep learning Image classification Iterative methods Machine learning Mammography Medical imaging Medical research Outliers (statistics) Ultrasonic imaging
Online-Zugang:	Volltext
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