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03/26/2021
Vulnerability Due to Training Order in Split Learning
Split learning (SL) is a privacy-preserving distributed deep learning me...
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02/25/2021
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations
Deep learning semantic segmentation algorithms can localise abnormalitie...
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01/19/2021
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
Image segmentation plays a pivotal role in several medical-imaging appli...
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01/19/2021
Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly
We propose an automated method based on deep learning to compute the car...
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12/23/2020
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
In this paper, we compare three privacy-preserving distributed learning ...
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06/23/2020
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks
COVID-19 is an infectious disease that causes respiratory problems simil...
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06/22/2020
Quantum Computing Methods for Supervised Learning
The last two decades have seen an explosive growth in the theory and pra...
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06/18/2020
Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening
Edge devices are revolutionizing diagnostics. Edge devices can reside wi...
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04/18/2020
Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks
The severity of knee osteoarthritis is graded using the 5-point Kellgren...
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03/19/2020