research
∙
07/04/2023
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation
Autonomous vehicles and Advanced Driving Assistance Systems (ADAS) have ...
share
research
∙
06/16/2020
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss
Lung cancer is the most common form of cancer found worldwide with a hig...
research
∙
04/24/2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms
Mammograms are commonly employed in the large scale screening of breast ...
research
∙
04/24/2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
Chest radiographs are primarily employed for the screening of cardio, th...
research
∙
04/24/2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
Chest radiographs are primarily employed for the screening of pulmonary ...
research
∙
05/17/2018
