Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

U. Raghavendra; Anjan Gudigar; Aritra Paul; T.S. Goutham; Mahesh Anil Inamdar; Ajay Hegde; Aruna Devi; Chui Ping Ooi; Ravinesh C Deo; Prabal D Barua; Filippo Molinari; Edward J. Ciaccio; U. Rajendra Acharya

doi:10.1016/j.compbiomed.2023.107063

Back

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

Journal article

Peer reviewed

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

U. Raghavendra, Anjan Gudigar, Aritra Paul, T.S. Goutham, Mahesh Anil Inamdar, Ajay Hegde, Aruna Devi, Chui Ping Ooi, Ravinesh C Deo, Prabal D Barua, …

Computers in Biology and Medicine, Vol.163, pp.1-16

2023

DOI: https://doi.org/10.1016/j.compbiomed.2023.107063

PMID: 37329621

Files and links (1)

url

https://doi.org/10.1016/j.compbiomed.2023.107063View

Published Version

Abstract

Health services and systems

Artificial intelligence

Brain tumor

Classification

Deep learning

Machine learning

MRI

PET

Segmentation

A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting pressure on the healthy parts of the brain, it can lead to significant health problems. Depending on the region of the brain tumor, it can cause a wide range of health issues. As malignant brain tumors grow rapidly, the mortality rate of individuals with this cancer can increase substantially with each passing week. Hence it is vital to detect these tumors early so that preventive measures can be taken at the initial stages. Computer-aided diagnostic (CAD) systems, in coordination with artificial intelligence (AI) techniques, have a vital role in the early detection of this disorder. In this review, we studied 124 research articles published from 2000 to 2022. Here, the challenges faced by CAD systems based on different modalities are highlighted along with the current requirements of this domain and future prospects in this area of research.

Details

Title: Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
Authors: U. Raghavendra (Author) - Manipal Academy of Higher Education
Anjan Gudigar (Corresponding Author) - Manipal Academy of Higher Education
Aritra Paul (Author) - Manipal Academy of Higher Education
T.S. Goutham (Author) - Manipal Academy of Higher Education
Mahesh Anil Inamdar (Author) - Manipal Academy of Higher Education
Ajay Hegde (Author) - Manipal Hospital
Aruna Devi (Author) - University of the Sunshine Coast, Queensland, School of Education and Tertiary Access
Chui Ping Ooi (Author) - Singapore University of Social Sciences
Ravinesh C Deo (Author) - University of Southern Queensland
Prabal D Barua (Author) - University of Southern Queensland
Filippo Molinari (Author) - Politecnico di Torino
Edward J. Ciaccio (Author) - Columbia University Irving Medical Center
U. Rajendra Acharya (Author) - Kumamoto University
Publication details: Computers in Biology and Medicine, Vol.163, pp.1-16
Publisher: Elsevier Ltd
Date published: 2023
DOI: 10.1016/j.compbiomed.2023.107063
ISSN: 1879-0534
PMID: 37329621
Organisation Unit: Indigenous and Transcultural Research Centre; School of Education and Tertiary Access
Language: English
Record Identifier: 99733898202621
Output Type: Journal article

Metrics

57 Record Views

31 Times Cited - Web of Science

See more details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Biology; Computer Science, Interdisciplinary Applications; Engineering, Biomedical; Mathematical & Computational Biology