Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier

T Balamurugan, E Gnanamanoharan - Neural Computing and Applications, 2023 - Springer
Brain tumour detection is essential for improving patient survival and prospects. This
research work necessitates a physical examination with magnetic resonance imaging (MRI) …

[HTML][HTML] Magnetic resonance imaging-based brain tumor image classification performance enhancement

BS Alemu, S Feisso, EA Mohammed, AO Salau - Scientific African, 2023 - Elsevier
Brain cancer is one of the most fatal types of disease, which is caused by an abnormally
growing mass of defective brain tissue. Generally, brain cancer can be divided into benign …

Multi-class Brain Tumor Classification and Segmentation using Hybrid Deep Learning Network Model

PR Kumar, K Bonthu, B Meghana, KS Vani… - … Computing: Practice and …, 2023 - scpe.org
Brain tumor classification is a significant task for evaluating tumors and selecting the type of
treatment as per their classes. Brain tumors are diagnosed using multiple imaging …

Brain tumor detection using supervised learning: a survey

P Shanishchara, VD Patel - 2022 Third International …, 2022 - ieeexplore.ieee.org
With the advancement in technology, artificial intelligence and computer vision are being
used extensively in health care sector. Specifically, there'sa lot of research happening in …

[PDF][PDF] An Effective Diagnosis System for Brain Tumor Detection and Classification.

AA Alsheikhy, AS Azzahrani, AK Alzahrani… - … Systems Science & …, 2023 - academia.edu
A brain tumor is an excessive development of abnormal and uncontrolled cells in the brain.
This growth is considered deadly since it may cause death. The brain controls numerous …

A new ensemble method for brain tumor segmentation

SM Laouali, M Chebbah, H Nakouri - Multimedia Tools and Applications, 2024 - Springer
Brain tumor localization and segmentation from magnetic resonance imaging (MRI) are
crucial and challenging tasks for several applications in the field of medical analysis. Tumor …

Image Fusion and Stylization Processing Based on Multiscale Transformation and Convolutional Neural Network

Q Xu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
With the continuous development of imaging sensors, images contain more and more
information, the images presented by different types of sensors are different, and the images …

Advanced Detection of Brain Disease using ML and DL Algorithm

J Vidhya, R Rakshana - 2022 International Conference on Edge …, 2022 - ieeexplore.ieee.org
In today's scenario, several brain and neurological disorders are being discovered and the
complexity of structure of brain varies with age. The early diagnosis of these diseases is of …

Research on Brain Tumor Segmentation Using a 3D U-Net with Deformable Convolution

Y He, T Huang, Q Yu, W Zhang - 2024 5th International …, 2024 - ieeexplore.ieee.org
In brain tumour image segmentation, due to the problems of brain tumours of different sizes
and shapes, blurred boundaries as well as unbalanced categories, this paper proposes a …

Brain tumour segmentation and classification using the Convolutional neural network (U-net model)

Y Kumar, VS Badiger, GK Shyam - … Conference on Advanced …, 2023 - ieeexplore.ieee.org
Brain tumour classification and detection have a high demand in the medical field, and playa
crucial role in the life of tumour patients to identify and plan the treatment it makes it easy for …