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

Affiliations

¹ Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
² Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India. Electronic address: anjan.gudigar@manipal.edu.
³ Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
⁴ Consultant Neurosurgeon Manipal Hospitals, Sarjapur Road, Bangalore, India.
⁵ School of Education and Tertiary Access, University of the Sunshine Coast, Caboolture Campus, Australia.
⁶ School of Science and Technology, Singapore University of Social Sciences, Singapore, 599494, Singapore.
⁷ School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, 4300, Australia.
⁸ Cogninet Brain Team, Cogninet Australia, Sydney, NSW, 2010, Australia; School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Toowoomba, QLD, 4350, Australia; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia.
⁹ Department of Electronics and Telecommunications, Politecnico di Torino, 10129, Torino, Italy.
¹⁰ Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA.
¹¹ School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, 4300, Australia; International Research Organization for Advanced Science and Technology (IROAST), Kumamoto University, Kumamoto, 860-8555, Japan.

PMID: 37329621
DOI: 10.1016/j.compbiomed.2023.107063

Review

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

U Raghavendra et al. Comput Biol Med. 2023 Sep.

. 2023 Sep:163:107063.

doi: 10.1016/j.compbiomed.2023.107063. Epub 2023 Jun 1.

Authors

Affiliations

¹ Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
² Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India. Electronic address: anjan.gudigar@manipal.edu.
³ Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
⁴ Consultant Neurosurgeon Manipal Hospitals, Sarjapur Road, Bangalore, India.
⁵ School of Education and Tertiary Access, University of the Sunshine Coast, Caboolture Campus, Australia.
⁶ School of Science and Technology, Singapore University of Social Sciences, Singapore, 599494, Singapore.
⁷ School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, 4300, Australia.
⁸ Cogninet Brain Team, Cogninet Australia, Sydney, NSW, 2010, Australia; School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Toowoomba, QLD, 4350, Australia; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia.
⁹ Department of Electronics and Telecommunications, Politecnico di Torino, 10129, Torino, Italy.
¹⁰ Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA.
¹¹ School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, 4300, Australia; International Research Organization for Advanced Science and Technology (IROAST), Kumamoto University, Kumamoto, 860-8555, Japan.

PMID: 37329621
DOI: 10.1016/j.compbiomed.2023.107063

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.

Keywords: Brain tumor; CT; Classification; Deep learning; MRI; Machine learning; PET; Segmentation.

PubMed Disclaimer

Conflict of interest statement

Declaration of competing interest The authors declare no conflict of interest.

Publication types

Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions
Actions

Substances

Actions

LinkOut - more resources

Full Text Sources
- ClinicalKey
Research Materials
- NCI CPTC Antibody Characterization Program
Miscellaneous
- NCI CPTAC Assay Portal

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

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

Affiliations

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

Authors

Affiliations

Abstract

Conflict of interest statement

Publication types

MeSH terms

Substances

LinkOut - more resources

Full Text Sources

Research Materials

Miscellaneous