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Model For Accurate Breast Cancer by naveed afroz is a document available to read on EtoBox.

The research article presents the EfcientViewNet model, a dual-view deep learning approach for improved breast cancer detection in mammograms, achieving a high F1 score and recall of 0.99. This model analyzes breast mass characteristics from craniocaudal and mediolateral oblique views to minimize false positives and negatives, addressing the challenges of mammogram interpretation. The study highlights the importance of early detection and the need for innovative solutions in breast cancer diagnosis.

Author
naveed afroz
Language
EN