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Journal of Innovative Image Processing

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Triplet loss for Chromosome Classification
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A REVIEW ON IOT BASED MEDICAL IMAGING TECHNOLOGY FOR HEALTHCARE APPLICATIONS
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COMPUTER VISION BASED TRAFFIC SIGN SENSING FOR SMART TRANSPORT
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Diabetic Retinopathy Detection Using Machine Learning
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Deep Learning based Handwriting Recognition with Adversarial Feature Deformation and Regularization
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State of Art Survey on Plant Leaf Disease Detection
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Optimal Compression of Remote Sensing Images Using Deep Learning during Transmission of Data
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OverFeat Network Algorithm for Fabric Defect Detection in Textile Industry
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VIRTUAL RESTORATION OF DAMAGED ARCHEOLOGICAL ARTIFACTS OBTAINED FROM EXPEDITIONS USING 3D VISUALIZATION
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Two-Stage Frame Extraction in Video Analysis for Accurate Prediction of Object Tracking by Improved Deep Learning
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Home / Archives / Volume-6 / Issue-1 / Article-2

Volume - 6 | Issue - 1 | march 2024

Brain Tumor Classification using Convolutional Neural Network
T.R. Ganesh Babu  , V. Varsha, T. S Yamuna Sri, S. Priyanka Kumari
Pages: 16-26
Cite this article
Babu, T. G., Varsha, V., Sri, T. S. Y. & Kumari, . P. (2024). Brain Tumor Classification using Convolutional Neural Network. Journal of Innovative Image Processing, 6(1), 16-26. doi:10.36548/jiip.2024.1.002
Published
27 February, 2024
Abstract

This study intuitively addresses a crucial need in the medical domain by introducing a customized Mobile-Net model for classifying brain cancer in medical imaging data. The paramount importance of accurate classification in cancer diagnosis and treatment planning cannot be emphasized further. This particular research primarily focuses on the practical application of semantic classification techniques to precisely identify and outline brain cancer zones in medical imaging data. By utilizing a Mobile-Net architecture, the developed model highlights outstanding performance with an accuracy score of 85%.

Keywords

Deep Convolutional Neural Network Python Google Colab Medical Image Analysis Deep Learning

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