Search Results for author: Anabia Sohail

Found 10 papers, 3 papers with code

A survey of the Vision Transformers and its CNN-Transformer based Variants

no code implementations17 May 2023 Asifullah Khan, Zunaira Rauf, Anabia Sohail, Abdul Rehman, Hifsa Asif, Aqsa Asif, Umair Farooq

This survey presents a taxonomy of the recent vision transformer architectures and more specifically that of the hybrid vision transformers.

CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images

no code implementations16 May 2023 Momina Liaqat Ali, Zunaira Rauf, Asifullah Khan, Anabia Sohail, Rafi Ullah, Jeonghwan Gwak

To address this issue, we propose a Channel Boosted Hybrid Vision Transformer (CB HVT) that uses transfer learning to generate boosted channels and employs both transformers and CNNs to analyse lymphocytes in histopathological images.

Medical Diagnosis Transfer Learning

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

no code implementations13 Feb 2022 Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, Asiya Batool, Anabia Sohail, Muhammad Waleed Khan

The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastating the global economy.

COVID-19 Diagnosis

COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

2 code implementations8 Dec 2020 Saddam Hussain Khan, Anabia Sohail, Asifullah Khan

In this work, a new classification technique CB-STM-RENet based on deep Convolutional Neural Network (CNN) and Channel Boosting is proposed for the screening of COVID-19 in chest X-Rays.

Domain Adaptation Transfer Learning

Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks

1 code implementation16 Sep 2020 Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, Yeon Soo Lee

In the second stage, the CT images classified as infectious images are provided to the segmentation models for the identification and analysis of COVID-19 infectious regions.

Semantic Segmentation

A Survey of the Recent Architectures of Deep Convolutional Neural Networks

no code implementations17 Jan 2019 Asifullah Khan, Anabia Sohail, Umme Zahoora, Aqsa Saeed Qureshi

The availability of a large amount of data and improvement in the hardware technology has accelerated the research in CNNs, and recently interesting deep CNN architectures have been reported.

Image Classification object-detection +3

A New Channel Boosted Convolutional Neural Network using Transfer Learning

no code implementations23 Apr 2018 Asifullah Khan, Anabia Sohail, Amna Ali

In the proposed methodology, a deep CNN is boosted by various channels available through TL from already trained Deep Neural Networks, in addition to its original channel.

Transfer Learning

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