Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

no code implementations • 23 Dec 2020 • Manish Gawali, Arvind C S, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, Bhanu Prakash KN, Viraj Kulkarni, Aniruddha Pant

In this paper, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed.

Binary Classification Classification +3

Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks

no code implementations • 23 Jun 2020 • Rohit Lokwani, Ashrika Gaikwad, Viraj Kulkarni, Aniruddha Pant, Amit Kharat

COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003).

Specificity

Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening

no code implementations • 18 Jun 2020 • Amit Kharat, Vinay Duddalwar, Krishna Saoji, Ashrika Gaikwad, Viraj Kulkarni, Gunjan Naik, Rohit Lokwani, Swaraj Kasliwal, Sudeep Kondal, Tanveer Gupte, Aniruddha Pant

Edge devices are revolutionizing diagnostics.

Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks

no code implementations • 18 Apr 2020 • Sudeep Kondal, Viraj Kulkarni, Ashrika Gaikwad, Amit Kharat, Aniruddha Pant

Our method works in two connected stages: in the first stage, an object detection model segments individual knees from the rest of the image; in the second stage, a regression model automatically grades each knee separately on the KL scale.

General Classification object-detection +2