Published June 1, 2021 | Version v1
Journal article

Brain Tumour Detection Using Machine Learning Algorithm

  • 1. Dept of Biomedical Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu (India)

Description

Brain is the regulatory unit in human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem solving, etc. The main reason for brain tumour is the abandoned progress of brain cells. Many health organizations have recognized brain tumour as the second foremost dispute that causes a large number of human deaths all around the world. Identification of brain tumour at a premature stage offers a opportunity of effective medical treatment. Use of Magnetic Resonance Imaging images have been recognized as more detailed and more consistent images when compared to Computed Tomography images. There are various techniques to detect brain tumour or neoplasms. The most competent and effective algorithms are discussed in this paper after studying a number of appropriate research papers. Pre-processing brain images, segmenting them, feature extraction, clustering and detection of the tumour are the methodologies in most researches. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1937/1/012008

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1937
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1742-6596

Conference

Title
International Conference on Novel Approaches and Developments in Biomedical Engineering
Acronym
ICNADBE 2021
Dates
22-23 Apr 2021
Place
Coimbatore (India)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54006191
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
BRAIN; COMPUTERIZED TOMOGRAPHY; DETECTION; IMAGES; MACHINE LEARNING; MAGNETIC RESONANCE; NEOPLASMS
Descriptors DEC
ALGORITHMS; ARTIFICIAL INTELLIGENCE; BODY; CENTRAL NERVOUS SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; LEARNING; MATHEMATICAL LOGIC; NERVOUS SYSTEM; ORGANS; RESONANCE; TOMOGRAPHY