Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier-Reference-Cited by-同舟云学术

Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier

Author:

Jain Sweta¹^ORCID,Tripathy Hrudaya Kumar¹^ORCID,Mallik Saurav²^ORCID,Qin Hong³^ORCID,Shaalan Yara⁴,Shaalan Khaled⁵^ORCID

Affiliation:

1. School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, Odisha, India

2. Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA

3. Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, Chattanooga, TN, USA

4. Faculty of Medicine, Misr University for Science and Technology, 6th of October City, Egypt

5. Faculty of Engineering and IT, Dubai International Academic Cit, The British University in Dubai, Dubai, United Arab Emirates

Funder

USA NSF

Catalyst Award from the USA National Academy of Medicine

AI Tennessee Initiative

University of Tennessee at Chattanooga

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference37 articles.

3. A novel framework for automatic detection of autism: A study on corpus callosum and intracranial brain volume;sharif;arXiv 1903 11323,2019

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