An efficient automated detection of schizophrenia using k-NN and bag of words features

A Tyagi, VP Singh, MM Gore - SN Computer Science, 2023 - Springer
Converging shreds of evidence from several research argue that the aberrations present in
a brain's Structural Magnetic Resonance Imaging (sMRI) are the leading cause of …

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 …

Machine Learning Based Brain Tumor Detection and Classification using HOG Feature Descriptor

S Shilaskar, T Mahajan, S Bhatlawande… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
The timely identification of brain tumor is crucial in medical diagnostics as it aids in
achieving accurate diagnoses. Medical imaging techniques have witnessed significant …

[PDF][PDF] Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques.

T Shawly, A Alsheikhy - Computers, Materials & Continua, 2023 - cdn.techscience.cn
ABSTRACT According to the World Health Organization (WHO), Brain Tumors (BrT) have a
high rate of mortality across the world. The mortality rate, however, decreases with early …

Brain Tumor Prediction from EEG Signal using Machine Learning Algorithm

C Jamunadevi, J Bharanitharan… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Brain tumors are a type of cancerous growth that occurs in the brain tissue. It can develop in
any part of the brain and can be either malignant or benign. Brain tumors can cause a range …

Local Average Based Kinetic Gas Molecular (LA-KGMO) Optimized MR Brain Image Segmentation Using Modified Self Organizing Map (MSOM)

A Mano, S Anand - Wireless Personal Communications, 2023 - Springer
In magnetic resonance (MR) brain picture investigation, brain picture segmentation (BPS) is
usually utilized for identifying, estimating and investigating the inner structure of the brain …

Brain Cancer Detection With MRI and ML

P Gupta, S Srivastava, R Gupta… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Brain based cancer is a devastating and potentially fatal disease that demands efficient &
timely diagnosis.[MRI] magnetic resonance-imaging has come as a very important utility for …

Brain Tumour Detection Using Deep Learning

S Vig, AP Srivastava, A Thakur, A Kumar… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
A brain tumour is an ailment resulting from the formation of aberrant brain cells. There exist
two elementary varieties of brain neoplasms: malignant (cancerous) brain neoplasms and …

Intelligent personal assistant for personal computers using long short-term memory-based verbalizer

ITJ Swamidason, S Tatiparthi, K Velswamy… - International Journal of …, 2022 - emerald.com
Purpose An intelligent personal assistant for personal computers (PCs) is a vital application
for the current generation. The current computer personal assistant services checking …

Compressed Deep Learning and Transfer Learning Model for Detecting Brain Tumour

S Dixit, CLP Gupta - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
The accurate detection of brain tumors is of paramount importance in medical imaging for
early diagnosis and effective treatment planning. In this study, we explore the application of …