A novel data augmentation-based brain tumor detection using convolutional neural network

H Alsaif, R Guesmi, BM Alshammari, T Hamrouni… - Applied sciences, 2022 - mdpi.com
Brain tumor is a severe cancer and a life-threatening disease. Thus, early detection is crucial
in the process of treatment. Recent progress in the field of deep learning has contributed …

[PDF][PDF] Block-Wise Neural Network for Brain Tumor Identification in Magnetic Resonance Images.

AA Asiri, M Aamir, A Shaf, T Ali… - … Materials & Continua, 2022 - cdn.techscience.cn
The precise brain tumor diagnosis is critical and shows a vital role in the medical support for
treating tumor patients. Manual brain tumor segmentation for cancer analysis from many …

[PDF][PDF] Augmentation based detection model for brain tumor using VGG 19

D Rastogi, P Johri, V Tiwari - International Journal of …, 2023 - pdfs.semanticscholar.org
A brain tumour is a serious malignancy that can lead to death. Early diagnosis is, therefore,
essential in the therapy procedure. Deep learning advances have made a significant …

MRI Brain Tumor Classification and Uncertainty Estimation using Hybrid CNN-ELM Model

AR Sheergojri, P Iqbal - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
Medical image processing is an enthralling area of study. This article proposed a novel brain
tumor identification and verification method that uses MR brain imaging to help clinicians …

Brain Tumour Prediction Using MRI Images with MobileNet and Transfer Learning: A Deep Learning Approach

D Rastogi, A Singh, SS Dhanda… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
Brain tumour detection and classification are crucial for early diagnosis, improving patient
survival rates. Magnetic Resonance Imaging (MRI) offers non-invasive, high-resolution brain …

PENGARUH OPTIMASI DALAM KLASIFIKASI TUMOR OTAK DENGAN HIBRIDA CNN-VIT

IC Sukandar, FT Anggraeny… - Antivirus: Jurnal Ilmiah …, 2024 - ejournal.unisbablitar.ac.id
Tumor merupakan suatu kelainan pada sel yang menyebabkan sel yang seharusnya hidup
dan mati pada waktu tertentu menjadi tetap hidup dan tumbuh secara abnormal. Tumor …

Classification of MRI Brain Tumor with Hybrid VGG19 and Ensemble Classifier Approach

Z Rasheed, YK Ma, S Bharany… - … on Innovations in …, 2024 - ieeexplore.ieee.org
The complex characteristics of brain tumors have prompted the advancement of diverse
computer-based categorization methods to enhance the efficiency and precision of MRI …

IDENTIFICATION OF POTATO LEAF DISEASES USING ARTIFICIAL NEURAL NETWORKS WITH EXTREME LEARNING MACHINE ALGORITHM

M Erkamim, RS Septarini… - Jurnal Pilar Nusa …, 2024 - ejournal.nusamandiri.ac.id
Potato plants have an important role in providing a source of carbohydrates for society.
However, potato production is often threatened by various plant diseases, such as leaf …

Optimization Of Node Size Configuration In Cnn-Elm Model For Brain Tumor Mri Image Classification

S Ahmad, B Rahmat… - Jurnal Sistem Informasi …, 2024 - jurnal.unprimdn.ac.id
This study proposed a method to classify four types of brain tumors—Glioma, Meningioma,
Pituitary, and Non-Tumor—using the Kaggle Brain Tumor MRI Dataset. The research …

[PDF][PDF] A Deep Learning Based Classification Model for the Detection of Brain Tumor using MRI

MAH Nayeem, MH Shakil, S Afrin… - International Journal of …, 2022 - academia.edu
The diagnosis of a brain tumor requires high accuracy, as even small errors in judgment can
lead to critical problems. For this reason, brain tumor segmentation is an important …