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Deep learning on medical image analysis
Medical image analysis plays an irreplaceable role in diagnosing, treating, and monitoring
various diseases. Convolutional neural networks (CNNs) have become popular as they can …
various diseases. Convolutional neural networks (CNNs) have become popular as they can …
A robust MRI-based brain tumor classification via a hybrid deep learning technique
The brain is the most vital component of the neurological system. Therefore, brain tumor
classification is a very challenging task in the field of medical image analysis. There has …
classification is a very challenging task in the field of medical image analysis. There has …
Combining the transformer and convolution for effective brain tumor classification using MRI images
In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …
which requires early and accurate detection for patient survival. In the early detection of BT …
Brain tumor segmentation using deep learning on MRI images
Brain tumor (BT) diagnosis is a lengthy process, and great skill and expertise are required
from radiologists. As the number of patients has expanded, so has the amount of data to be …
from radiologists. As the number of patients has expanded, so has the amount of data to be …
Advanced deep learning approaches for accurate brain tumor classification in medical imaging
A brain tumor can have an impact on the symmetry of a person's face or head, depending on
its location and size. If a brain tumor is located in an area that affects the muscles …
its location and size. If a brain tumor is located in an area that affects the muscles …
[HTML][HTML] Morphological, optical, and electrical properties of CoxCa (0.90-x) Ni0. 10Fe2O4 based flexible metamaterial substrate for industrial chemical contamination …
State-of-the art research on conventional microwave substrates reveals limitations of
restricted flexibility, poor adaptability to irregular surfaces, and reduced effectiveness in …
restricted flexibility, poor adaptability to irregular surfaces, and reduced effectiveness in …
Segmentation and classification of medical big data on brain tumor using bacteria foraging optimization algorithm along with learning automata
DS Keerthi, C Maithri, M Dayanidhi… - Internet Technology …, 2024 - Wiley Online Library
Detecting the early stage of brain tumors is significant for an effective therapy that can
probably minimize the death rate of patients affected from brain tumors. Magnetic resonance …
probably minimize the death rate of patients affected from brain tumors. Magnetic resonance …
Design and assessment of improved Convolutional Neural Network based brain tumor segmentation and classification system
Deep learning techniques have recently demonstrated promising outcomes in the
segmentation of brain tumors from MRI images. Due to its capability to handle high …
segmentation of brain tumors from MRI images. Due to its capability to handle high …
A systematic review on deep learning implementation in brain tumor segmentation, classification and prediction
MA Abid, K Munir - Multimedia Tools and Applications, 2025 - Springer
The brain is the central part of the body that controls the overall functionality of the human
body. The formulation of abnormal cells in the brain may lead to a brain tumor. Manual …
body. The formulation of abnormal cells in the brain may lead to a brain tumor. Manual …
GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI.
Brain tumors pose a significant threat to human lives and have gained increasing attention
as the tenth leading cause of global mortality. This study addresses the pressing issue of …
as the tenth leading cause of global mortality. This study addresses the pressing issue of …