no code implementations • 19 Feb 2022 • Viraj Kulkarni, Sanjesh Pawale, Amit Kharat
While many quantum computing techniques for machine learning have been proposed, their performance on real-world datasets remains to be studied.
no code implementations • 14 Dec 2021 • Suraj Ghuwalewala, Viraj Kulkarni, Richa Pant, Amit Kharat
Radiology, being one of the younger disciplines of medicine with a history of just over a century, has witnessed tremendous technological advancements and has revolutionized the way we practice medicine today.
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.
no code implementations • 3 Feb 2021 • Viraj Kulkarni, Manish Gawali, Amit Kharat
The use of machine learning to develop intelligent software tools for interpretation of radiology images has gained widespread attention in recent years.
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.
no code implementations • 19 Jan 2021 • Tanveer Gupte, Mrunmai Niljikar, Manish Gawali, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
We propose an automated method based on deep learning to compute the cardiothoracic ratio and detect the presence of cardiomegaly from chest radiographs.
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).
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.
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.