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

Raghavendra, U; Gudigar, A; Paul, A; Goutham, TS; Inamdar, MA; Hegde, A; Devi, A; Ooi, CP; Deo, RC; Barua, PD; Molinari, F; Ciaccio, EJ; Acharya, UR

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

Raghavendra, U Gudigar, A Paul, A Goutham, TS Inamdar, MA Hegde, A Devi, A Ooi, CP Deo, RC Barua, PD Molinari, F Ciaccio, EJ Acharya, UR

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Comput Biol Med, 2023, 163, pp. 107063
Issue Date:: 2023-09

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Field	Value	Language
dc.contributor.author	Raghavendra, U
dc.contributor.author	Gudigar, A
dc.contributor.author	Paul, A
dc.contributor.author	Goutham, TS
dc.contributor.author	Inamdar, MA
dc.contributor.author	Hegde, A
dc.contributor.author	Devi, A
dc.contributor.author	Ooi, CP
dc.contributor.author	Deo, RC
dc.contributor.author	Barua, PD
dc.contributor.author	Molinari, F
dc.contributor.author	Ciaccio, EJ
dc.contributor.author	Acharya, UR
dc.date.accessioned	2024-04-05T00:43:47Z
dc.date.available	2023-05-19
dc.date.available	2024-04-05T00:43:47Z
dc.date.issued	2023-09
dc.identifier.citation	Comput Biol Med, 2023, 163, pp. 107063
dc.identifier.issn	0010-4825
dc.identifier.issn	1879-0534
dc.identifier.uri	http://hdl.handle.net/10453/177486
dc.description.abstract	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.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Comput Biol Med
dc.relation.isbasedon	10.1016/j.compbiomed.2023.107063
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 11 Medical and Health Sciences
dc.subject.classification	Biomedical Engineering
dc.subject.classification	3102 Bioinformatics and computational biology
dc.subject.classification	4203 Health services and systems
dc.subject.classification	4601 Applied computing
dc.subject.mesh	Humans
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Brain
dc.subject.mesh	Brain Neoplasms
dc.subject.mesh	Skull
dc.subject.mesh	Radiopharmaceuticals
dc.subject.mesh	Skull
dc.subject.mesh	Brain
dc.subject.mesh	Humans
dc.subject.mesh	Brain Neoplasms
dc.subject.mesh	Radiopharmaceuticals
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Humans
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Brain
dc.subject.mesh	Brain Neoplasms
dc.subject.mesh	Skull
dc.subject.mesh	Radiopharmaceuticals
dc.title	Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.
dc.type	Journal Article
utslib.citation.volume	163
utslib.location.activity	United States
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-05T00:43:45Z
pubs.publication-status	Published
pubs.volume	163

Abstract:

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/177486