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/10.1088/1742-6596/1937/1/012008Additional details
Identifiers
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