Brain tumor classification using optimized and relief-based feature reduction and regression neural network

B Shyamala, SHD Brahmananda - Biomedical Signal Processing and …, 2023 - Elsevier
The brain is an essential part of the human body for carrying out normal functions.
Nowadays, a person's fast-paced lifestyle combined with an unhealthy diet can lead to brain …

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks

T Hoang, L Nguyen, K Do, D Nguyen… - arxiv preprint arxiv …, 2024 - arxiv.org
In the field of heart disease classification, two primary obstacles arise. Firstly, existing
Electrocardiogram (ECG) datasets consistently demonstrate imbalances and biases across …

Spatio-temporal prediction in epidemiology using graph convolution network

S Siji Rani, P Dhanyalaxmi, AS Akshay… - … on Information and …, 2023 - Springer
Over the last decade, e-commerce has expanded significantly. An effective recommendation
system is needed for better information filtering as more products are available online …

Cascaded 3D V-Net for Fully Automatic Segmentation and Classification of Brain Tumor Using Multi-channel MRI Brain Images

M Khemchandani, S Jadhav, V Kadam - International Conference on Deep …, 2022 - Springer
Recently, the incidence of Brain tumor (BT) has become highly common worldwide. BT is a
life threatening ailment and its early identification is imperative for saving human life. BT …

[PDF][PDF] Automated Identification and Classification of Brain Tumors Using Hybrid Machine Learning Models and MRI Imaging

SA Abd Al Hussen, EMTA Alsaadi - Ingenierie des Systemes d' …, 2023 - researchgate.net
The need for automated diagnostic systems in medical imaging, particularly in the detection
and categorization of brain tumors, is paramount. This research proposes a hybrid model to …

Machine Learning for Detection and Classification of Human Brain Tumor: A Survey

SA Al Hussen, EMTA Alsaadi - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Intracranial solid tumors arise due to uncontrolled and abnormal cell division. Classification
of brain tumors depends on factors such as the tumor's location, the type of tissue it consists …

Brain Tumor Detection and Classification

S Patil, S Jaybhaye, S Kotgire, S Raina, S Bhat… - … on Information and …, 2023 - Springer
The most challenging issue in medical image analysis is brain tumor diagnosis. Because
brain tumors may have a variety of sizes or textures, the photographs show a lot of …

[PDF][PDF] Automated Identification and Localization of Brain Tumor in MRI Using U-Net Segmentation and CNN-LSTM Classification

TS Chandrakantha, BN Jagadale, TE Abhisheka… - academia.edu
Nowadays, the use of computers to evaluate medical images automatically is critical part of
the life. Today's treatment method relies heavily on early diagnosis and accurate disease …