Paper Title

Deep Learning Based Brain Tumor And Hemorrhage Detection

Article Identifiers

Registration ID: IJNRD_221569

Published ID: IJNRD2405483

DOI: Click Here to Get

Authors

Sanjana Rao U S , Raksha Nayak , Shreeta Jayakar Shetty , Vinaya S , Shashikala R

Keywords

— Deep Learning, Convolution Neural Network, EfficientNetB0,Recurrent Neural Network,Long short-term memory,Gated Recurrent unit.

Abstract

Brain tumors and intracranial hemorrhages are serious medical conditions that can greatly impact the quality of life for patients. Early detection and diagnosis of these conditions are crucial for effective treatment and improved outcomes. So we came up with system to detect brain tumor and hemorrhage using deep learning techniques. This work uses Deep Learning (DL) architectures like Convolutional Neural Network (CNN) and EfficientNetB0 for Transfer Learning to detect the brain tumor.This model is used to predict the types of brain tumors .The model used to find brain hemorrhage is Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) layers, with LSTM and GRU layers, to extract features from the images and make predictions.

How To Cite

"Deep Learning Based Brain Tumor And Hemorrhage Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.e790-e796, May-2024, Available :https://ijnrd.org/papers/IJNRD2405483.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : e790-e796

Other Publication Details

Paper Reg. ID: IJNRD_221569

Published Paper Id: IJNRD2405483

Downloads: 000121122

Research Area: Engineering

Country: udupi, karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405483.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405483

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area