Inceptionism and Residualism in Classification of Breast Fine Needle Aspiration Cytology Cell Samples
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Deep Learning project to push accuracy classification margin beyond benchmark for FNAC cell samples to predict Breast Cancer. ...learn more
Project status: Published/In Market
Intel Technologies
AI DevCloud / Xeon,
Intel Opt ML/DL Framework
Overview / Usage
CNN based approach to detect Malignant vs Benign cell in samples. Data-set was created in our lab and with augmentation, cleansing and segmentation, we moved forward with different CNN models.
Methodology / Approach
CNN based and trained in Intel Optimized Tensorflow and Intel Devcloud
Technologies Used
Tensorflow, Intel Devcloud, Intel Xeon processors