BRAIN TUMOR CLASSIFICATION USING CONVOLUTION NEURAL NETWORK (DEEP LEARNING)

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page BRAIN TUMOR CLASSIFICATION USING CONVOLUTION NEURAL NETWORK (DEEP LEARNING) Sahana.BM, Chaithra. UC Abstract- Astrocytoma is the most common and serious disease with a high grade and short life expectancy. Therefore, planning effective therapy is crucial to enhance patients' quality of life. Malignancies in different organs, such as the brain, lung, liver, chest, and libido, are usually diagnosed using image procedures like computed tomography (CT), magnetic resonance imaging (MRI), and computerized tomography. Among these techniques, MRI is considered superior in diagnosing brain tumors. However, the identification of tumors by humans in a specific time period is difficult due to the enormous amount of data generated by an MRI scan. Moreover, MRI has limitations as quantitative data is not commonly available for all images. Downloads: | DOI: 10.17148/IARJSET.2023.10837 How to Cite: [1] Sahana.BM, Chaithra. UC, "BRAIN TUMOR CLASSIFICATION USING CONVOLUTION NEURAL NETWORK (DEEP LEARNING)," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10837 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat