Jan. 5, 2022, 2:10 a.m. | Sruthi Krishna, Suganthi S.S, Shivsubramani Krishnamoorthy, Arnav Bhavsar

cs.CV updates on arXiv.org arxiv.org

Computer assisted diagnosis in digital pathology is becoming ubiquitous as it
can provide more efficient and objective healthcare diagnostics. Recent
advances have shown that the convolutional Neural Network (CNN) architectures,
a well-established deep learning paradigm, can be used to design a Computer
Aided Diagnostic (CAD) System for breast cancer detection. However, the
challenges due to stain variability and the effect of stain normalization with
such deep learning frameworks are yet to be well explored. Moreover,
performance analysis with arguably more …

arxiv cancer convolutional neural networks detection image recognition networks neural networks

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