Elevating medical imaging: AI-driven computer vision for brain tumor analysis

Title

Elevating medical imaging: AI-driven computer vision for brain tumor analysis

Creator

Vijayalakshmi A.; Joshi H.

Description

Artificial Intelligence (AI) applications in the realm of computer vision have witnessed remarkable advancements, reshaping various industries and solving complex problems. In this context, this research focuses on the use of convolutional neural networks (CNNs) for classifying brain tumors - a crucial domain within medical imaging. Leveraging the power of CNNs, this research aimed to accurately classify brain tumor images into "No Tumor" and "Tumor" categories. The achieved test loss of 0.4554 and test accuracy of 75.89% exemplify the potential of AI-powered computer vision in healthcare. These results signify the significance of AI-driven image analysis in assisting healthcare professionals with early tumor detection and improved diagnostics, underlining the need for continuous refinement and validation to ensure its clinical effectiveness. This research adds to the expanding research and applications that harness AI and computer vision to enhance healthcare decisionmaking processes. 2024, IGI Global. All rights reserved.

Source

Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 331-350.

Date

2024-01-01

Publisher

IGI Global

Coverage

Vijayalakshmi A., Christ University, India; Joshi H., Christ University, India

Rights

Restricted Access

Relation

ISBN: 979-836935289-2; 979-836935288-5

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-5288-5.ch012

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215352100&doi=10.4018%2f979-8-3693-5288-5.ch012&partnerID=40&md5=1d34a745d410b0ba491e8e95b091b34b