Search Results for author:
Found 4 papers, 1 papers with code
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
The pandemic resulted in vast repositories of unstructured data, including radiology reports, due to increased medical examinations.
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Training robust deep learning (DL) systems for disease detection from medical images is challenging due to limited images covering different disease types and severity.
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
In this study, we propose the use of a deep purely convolutional neural network for the semantic segmentation of ILD patterns, as the basic component of a computer aided diagnosis (CAD) system for ILDs.
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
In a previous study, we proposed a method for classifying lung tissue patterns using a deep convolutional neural network (CNN), with an architecture designed for the specific problem.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
