Cited by 222AI in cancer detectionArtificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI

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The state of the art of deep learning models in medical science and their challenges

Bhatt, Chandradeep, Kumar, Indrajeet, Vijayakumar, V., Singh, Kamred Udham, Kumar, Abhishek·2021·Multimedia Systems

DOI 10.1007/s00530-020-00694-1

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Authors: Bhatt, C., Kumar, I., Vijayakumar, V., Singh, K. U., & Kumar, A.
Affiliations: Graphic Era Hill University (IN)
UNSW Sydney (AU)
Banaras Hindu University (IN)
Corresponding author: Kumar, Abhishek
ORCID: Bhatt, Chandradeep
Kumar, Indrajeet
Singh, Kamred Udham
Kumar, Abhishek
Venue: Multimedia Systems
Publisher: Springer Science and Business Media LLC
Published: 2020-09-25
Volume: 27
Issue: 4
Pages: 599-613
ISSN: 0942-4962 (ISSN-L)
1432-1882
DOI: 10.1007/s00530-020-00694-1
OpenAlex: W3088930327
Semantic Scholar: 1756b3ce83ed682f957bd37770db00e586486ee5
Cited by: 222
References: 109
Citations by year: 2026: 21 · 2025: 52 · 2024: 47 · 2023: 57 · 2022: 28 · 2021: 16
FWCI: 9.91
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Multimedia Systems (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
Keywords: deep learning in healthcare, medical image processing, diagnosis, medical image classification, medical image segmentation, deep learning architectures, breast cancer, lung cancer, brain tumors, health care system

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