Neural Network Analysis For The Detection Of Brain Tumors Using Orange Application

DOI

10.2991/978-94-6463-364-1_100How to use a DOI?

Keywords

Brain Tumor Classification; Neural Network; KNN; Deep Learning; Orange Data Mining

Abstract

As digital imaging assumes crucial roles in the treatment of MRI images, X-ray images will be employed for evaluation and to detect tumor growth in the human body in the restorative field. As the tumor develops in the skull, it can cause extreme brain pressure and interfere with previously normal brain function. A hypostrained or isotense MRI occurs. In the image, the MRI calls the edge will fluctuate to gray. Depending on the back-propagation of neural system procedure describes an approach for the order of MRI images. Strategies are built using techniques such as image enrichment, segmentation, registration, character recognition, and segregation. The segmentation procedure considers morphological operations and threshold values. Using the backpropagation algorithm, the neural network technique is used to identify tumors in training and experimental images. Preparation and assessment are the two stages of CNN-based brain tumor categories. Based on median filtering techniques, the original preprocessed segment has a validation accuracy of 0.979. Accuracy will be improved with a low error rate in this upcoming work employing various classifier algorithms.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Prayitno Prayitno
AU  - Kurnianingsih
AU  - Ajeng Mutiara Charisma
AU  - Rizal Nugroho
PY  - 2024
DA  - 2024/02/17
TI  - Neural Network Analysis For The Detection Of Brain Tumors Using Orange Application
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 1102
EP  - 1109
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_100
DO  - 10.2991/978-94-6463-364-1_100
ID  - Prayitno2024
ER  -