Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model

no code implementations • 22 Apr 2022 • Amartya Bhattacharya, Manish Gawali, Jitesh Seth, Viraj Kulkarni

Federated Learning (FL) helps AI models to generalize better and create a robust AI model by using data from different sources having different distributions and data characteristics without moving all the data to a central server.

Binary Classification Federated Learning

Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations

no code implementations • 25 Feb 2021 • Jitesh Seth, Rohit Lokwani, Viraj Kulkarni, Aniruddha Pant, Amit Kharat

We investigate the effect of image augmentations on reducing the requirement of labelled data in the semantic segmentation of chest X-rays for pneumonia detection.

Image Augmentation Pneumonia Detection +2