390 citations · 394 across the 3 of their papers we have counts for
3 papers
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs
Sumeet Shinde, Tanay Chougule, Jitender Saini +1
We propose a CNN based technique that aggregates feature maps from its multiple layers that can localize abnormalities with greater details as well as predict pathology under consi…
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets
Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe
This work introduces a novel activation unit that can be efficiently employed in deep neural nets (DNNs) and performs significantly better than the traditional Rectified Linear Uni…