Overview of multi-modal brain tumor mr image segmentation

W Zhang, Y Wu, B Yang, S Hu, L Wu, S Dhelim - Healthcare, 2021 - mdpi.com
The precise segmentation of brain tumor images is a vital step towards accurate diagnosis
and effective treatment of brain tumors. Magnetic Resonance Imaging (MRI) can generate …

Multi-class classification of brain tumor types from MR images using EfficientNets

F Zulfiqar, UI Bajwa, Y Mehmood - Biomedical Signal Processing and …, 2023 - Elsevier
Accurate classification of the type of brain tumor plays an important role in the early
diagnosis of the tumor which can be the difference between life and death. Magnetic …

IOTEML: An Internet of Things (IoT)‐Based Enhanced Machine Learning Model for Tumour Investigation

B Swaminathan, S Choubey… - Computational …, 2022 - Wiley Online Library
In the current age of technology, various diseases in the body are also on the rise. Tumours
that cause more discomfort in the body are set to increase the discomfort of most patients …

Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions

J Amin, M Sharif, M Yasmin, T Saba, M Raza - Multimedia Tools and …, 2020 - Springer
The physical appearance of a brain tumor in human beings may be an indication of
problems in psychological (cognitive) functions. Such functions include learning …

An efficient method for brain tumor detection and categorization using MRI images by K-means clustering & DWT

A Chaudhary, V Bhattacharjee - International Journal of Information …, 2020 - Springer
Brain tumor is an uncontrolled mass of tissues in the brain which originate due to mutated
growth of tissues. Brain tumor has become a leading cost of death in modern day …

[PDF][PDF] A CNN based approach for the detection of brain tumor using MRI scans

S Sarkar, A Kumar, S Chakraborty, S Aich… - Test Engineering and …, 2020 - researchgate.net
In the present day, the rise in the number of diagnosis of brain tumour has reached an
enormous height. Gliomas and metastatic brain tumours are found to represent 30% of all …

Brain tumor segmentation and classification in MRI using SVM and its variants: a survey

S Vadhnani, N Singh - Multimedia Tools and Applications, 2022 - Springer
The process of separation of brain tumor from normal brain tissues is Brain tumor
segmentation. Segmentation of tumor from the MR images is a very challenging task as …

[Retracted] A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach

A Sriram, G Sekhar Reddy… - Evidence‐Based …, 2022 - Wiley Online Library
The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing
the world of technology and innovating various industries, including healthcare. It has …

[PDF][PDF] An internet of things-based automatic brain tumor detection system

ML Rahman, AW Reza, SI Shabuj - Indonesian Journal of …, 2022 - researchgate.net
Due to the advances in information and communication technologies, the usage of the
internet of things (IoT) has reached an evolutionary process in the development of the …

[PDF][PDF] Brain tumor classification in magnetic resonance imaging images using convolutional neural network

N Remzan, K Tahiry, A Farchi - IJECE, 2022 - academia.edu
Deep learning (DL) is a subfield of artificial intelligence (AI) used in several sectors, such as
cybersecurity, finance, marketing, automated vehicles, and medicine. Due to the …