A systematic study of artificial intelligence-based methods for detecting brain tumors
The brain is regarded as one of the most effective body-controlling organs. The development
of technology has enabled the early and accurate detection of brain tumors, which makes a …
of technology has enabled the early and accurate detection of brain tumors, which makes a …
Mask region-based convolutional neural network and VGG-16 inspired brain tumor segmentation
The process of brain tumour segmentation entails locating the tumour precisely in images.
Magnetic Resonance Imaging (MRI) is typically used by doctors to find any brain tumours or …
Magnetic Resonance Imaging (MRI) is typically used by doctors to find any brain tumours or …
Variable structure based control for the chemotherapy of brain tumor
Brain Tumor is an unwanted mass when cells grow abnormally. It puts pressure on certain
areas of the brain which dangerously affects its functioning. For severe tumors like …
areas of the brain which dangerously affects its functioning. For severe tumors like …
Brain tumour detection using machine learning algorithm
A Keerthana, BK Kumar, KS Akshaya… - Journal of Physics …, 2021 - iopscience.iop.org
Brain is the regulatory unit in human body. It controls the functions such as memory, vision,
hearing, knowledge, personality, problem solving, etc. The main reason for brain tumour is …
hearing, knowledge, personality, problem solving, etc. The main reason for brain tumour is …
Machine Learning Based Brain Tumor Detection and Classification using HOG Feature Descriptor
The timely identification of brain tumor is crucial in medical diagnostics as it aids in
achieving accurate diagnoses. Medical imaging techniques have witnessed significant …
achieving accurate diagnoses. Medical imaging techniques have witnessed significant …
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 …
system is needed for better information filtering as more products are available online …
Brain Tumor Classification Using an Ensemble of Deep Learning Techniques
The article reflects on the classification of brain tumors where several deep learning (DL)
approaches are used. Both primary and secondary brain tumors reduce the patient's quality …
approaches are used. Both primary and secondary brain tumors reduce the patient's quality …
DDVM: dual decision voting mechanism for brain tumour identification with LBP2Q-SVM type classifier
Brain tumour classification plays a significant role in medical science as diagnosis of a brain
tumour at its early stage of development can improve the recovery of the patient after …
tumour at its early stage of development can improve the recovery of the patient after …
Brain Tumour Classification using CNN Algorithm
M Jagadeesh, P Chitra, K Srilatha… - … on Electronics and …, 2022 - ieeexplore.ieee.org
The detachment of attractive reverberation imaging assumes a vital part in the clinical field,
as it can eliminate the ideal area from the picture. All in all, there is no option in contrast to …
as it can eliminate the ideal area from the picture. All in all, there is no option in contrast to …
Detection and classification of brain tumors using convolutional neural network
PSL Veeranki, GL Banavath… - 2023 7th International …, 2023 - ieeexplore.ieee.org
According to statistics from WHO, brain tumors will account for roughly 9.5 million deaths
globally in the next few decades. Early identification and treatment are the best ways to stop …
globally in the next few decades. Early identification and treatment are the best ways to stop …