A compressive survey on different image processing techniques to identify the brain tumor.

Bhagavan, K.; Imambi, S. Sagar; Bano, Shahana

Abstract

Medical imaging technology has revolutionized health care over the past three decades, allowing doctors to detect, cure and improve patient outcomes. Medicinal imaging involves pictures - of internal organs, parts, tissues and bones - for therapeutic examination and research purposes. X-ray and CT scanners are the two greatest results of progress in imaging methods supplanting 2D procedures. Magnetic resonance imaging (MRI) is an imaging procedure that is utilized in radiology to visualize interior structures of the body and better understand how they work. X-ray provides a 3D image of the body's interior; as well as being critical for tumor discovery, this also enables surgeons to more easily dissect infections or tumors than was possible with older X-beam technology, which provided a 2D image. This paper provides an overview of different systems that can be used for distinguishing and preparing medical images.

Citation

BHAGAVAN, K., IMAMBI, S.S. and BANO, S. 2018. A compressive survey on different image processing techniques to identify the brain tumor. International journal of engineering and technology (Science Publishing Corporation) [online], 7(2.7): proceedings of the 2018 International conference on Internet of Things (IoT) and cyber security (ICICS 2018), 22-23 March 2018, Vijayawada, India, pages 1081-1084. Available from: https://doi.org/10.14419/ijet.v7i2.7.12232

• Journal Article Type: Conference Paper
• Conference Name: 2018 International conference on Internet of Things (IoT) and cyber security (ICICS 2018)
• Conference Location: Vijayawada, India
• Acceptance Date: Mar 1, 2018
• Online Publication Date: Mar 18, 2018
• Publication Date: Mar 18, 2018
• Deposit Date: Sep 21, 2023
• Publicly Available Date: Sep 21, 2023
• Journal: International journal of engineering and technology (Science Publishing Corporation)
• Electronic ISSN: 2227-524X
• Publisher: Science Publishing Corporation
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 2.7
• Pages: 1081-1084
• DOI: https://doi.org/10.14419/ijet.v7i2.7.12232
• Keywords: Medical imaging; X-ray; MRI
• Public URL: https://rgu-repository.worktribe.com/output/2064124