YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images-Reference-Cited by-同舟云学术

YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images

Published:2023 Issue: Volume:11 Page:141309-141328
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Vidhya V.¹^ORCID,Raghavendra U.²^ORCID,Gudigar Anjan²^ORCID,Basak Sudipta²,Mallappa Sankalp²^ORCID,Hegde Ajay³^ORCID,Menon Girish R.⁴^ORCID,Barua Prabal Datta⁵^ORCID,Salvi Massimo⁶^ORCID,Ciaccio Edward J.⁷,Molinari Filippo⁶^ORCID,Acharya U. Rajendra⁸^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

2. Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

3. Manipal Hospitals, Bengaluru, Karnataka, India

4. Department of Neurosurgery, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India

5. Cogninet Brain Team, Cogninet Australia, Sydney, NSW, Australia

6. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Biolab, Italy

7. Department of Medicine, Columbia University, New York City, NY, USA

8. School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, Australia

Funder

Open Access funding provided by the Manipal Academy of Higher Education, Manipal

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/ielx7/6287639/10005208/10345567.pdf?arnumber=10345567

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