CB-HVT Net: A Channel-Boosted Hybrid Vision Transformer Network for Lymphocyte Detection in Histopathological Images-Reference-Cited by-同舟云学术

CB-HVT Net: A Channel-Boosted Hybrid Vision Transformer Network for Lymphocyte Detection in Histopathological Images

Published:2023 Issue: Volume:11 Page:115740-115750
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Momina Liaqat¹^ORCID,Rauf Zunaira²,Khan Asifullah³^ORCID,Sohail Anabia⁴,Ullah Rafi⁵,Gwak Jeonghwan⁶^ORCID

Affiliation:

1. Department of Computer and Information Sciences, Pattern Recognition Laboratory, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan

2. PIEAS Artificial Intelligence Center (PAIC), Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan

3. Center for Mathematical Sciences, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan

4. Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

5. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

6. Department of Software, Korea National University of Transportation, Chungju, Republic of Korea

Funder

Ministry of Education (MOE)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10288352.pdf?arnumber=10288352

Reference71 articles.

1. COVID-19 detection in chest X-ray images using deep boosted hybrid learning

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3. Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

4. GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection

5. A survey of the recent architectures of deep convolutional neural networks

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