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

Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans

no code implementations • 19 Jan 2021 • Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit Kharat, Aniruddha Pant

We also present a comparison based on the segmentation results, the contextual information retained, and the inference time between this 3D technique and a traditional 2D deep learning technique.

Computed Tomography (CT) Image Segmentation +2

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.