7 citations · 13 across the 2 of their papers we have counts for
5 papers
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan
COVID-19 is a highly contagious respiratory infection that has affected a large population across the world and continues with its devastating consequences. It is imperative to det…
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan +1
COVID-19 is a global health problem. Consequently, early detection and analysis of the infection patterns are crucial for controlling infection spread as well as devising a treatme…
Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images
Anabia Sohail, Muhammad Ahsan Mukhtar, Asifullah Khan +3
Empirical evaluation of breast tissue biopsies for mitotic nuclei detection is considered an important prognostic biomarker in tumor grading and cancer progression. However, automa…
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan, Anabia Sohail, Umme Zahoora +1
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several competitions related to Computer Vision and Image Pro…
A New Channel Boosted Convolutional Neural Network using Transfer Learning
Asifullah Khan, Anabia Sohail, Amna Ali
We present a novel architectural enhancement of Channel Boosting in a deep convolutional neural network (CNN). This idea of Channel Boosting exploits both the channel dimension of…