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

被引：21

作者：

Raghavendra, U. ^{[1
]}

Gudigar, Anjan ^{[1
]}

Paul, Aritra ^{[1
]}

Goutham, T. S. ^{[1
]}

Inamdar, Mahesh Anil ^{[2
]}

Hegde, Ajay ^{[3
]}

Devi, Aruna ^{[4
]}

Ooi, Chui Ping ^{[5
]}

Deo, Ravinesh C. ^{[6
]}

Barua, Prabal Datta ^{[7
,8
,9
]}

Molinari, Filippo ^{[10
]}

Ciaccio, Edward J. ^{[11
]}

Acharya, U. Rajendra ^{[6
,12
]}

机构：

[1] Manipal Acad Higher Educ, Manipal Inst Technol, Dept Instrumentat & Control Engn, Manipal 576104, India

[2] Manipal Acad Higher Educ, Manipal Inst Technol, Dept Mechatron, Manipal 576104, India

[3] Consultant Neurosurg Manipal Hosp, Sarjapur Rd, Bangalore, India

[4] Univ Sunshine Coast, Sch Educ & Tertiary Access, Caboolture Campus, Sunshine Coast, Australia

[5] Singapore Univ Social Sci, Sch Sci & Technol, Singapore 599494, Singapore

[6] Univ Southern Queensland, Sch Math Phys & Comp, Springfield, Qld 4300, Australia

[7] Cogninet Australia, Cogninet Brain Team, Sydney, NSW 2010, Australia

[8] Univ Southern Queensland, Fac Business Educ Law & Arts, Sch Business Informat Syst, Toowoomba, Qld 4350, Australia

[9] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia

[10] Politecn Torino, Dept Elect & Telecommun, I-10129 Turin, Italy

[11] Columbia Univ, Dept Med, Med Ctr, New York, NY 10032 USA

[12] Kumamoto Univ, Int Res Org Adv Sci & Technol IROAST, Kumamoto 8608555, Japan

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2023年 / 163卷

关键词：

Brain tumor; Classification; CT; Deep learning; Machine learning; MRI; PET; Segmentation; IMAGE SEGMENTATION; MR-IMAGES; CLASSIFICATION; TISSUE; TOMOGRAPHY; ALGORITHM; DIAGNOSIS; MODELS;

D O I：

10.1016/j.compbiomed.2023.107063

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：16

共 136 条

[1] A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned [J].