A survey of brain tumor segmentation and classification algorithms
ES Biratu, F Schwenker, YM Ayano, TG Debelee - Journal of Imaging, 2021 - mdpi.com
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
Role of deep learning in classification of brain MRI images for prediction of disorders: a survey of emerging trends
PR Verma, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Image classification is the act of labeling groups of pixels or voxels of an image based on
some rules. It finds applications in medical image analysis, and satellite image identification …
some rules. It finds applications in medical image analysis, and satellite image identification …
A Review on Medical Image Analysis Using Deep Learning
R Egala, MVS Sairam - Engineering Proceedings, 2024 - mdpi.com
The objective of the medical image analysis is to increase the effectiveness of the diagnosis
options. The Coevolution Neural Network (CNN) is the predominant neural network …
options. The Coevolution Neural Network (CNN) is the predominant neural network …
Deep convolutional neural networks model-based brain tumor detection in brain MRI images
MAB Siddique, S Sakib, MMR Khan… - … Conference on I …, 2020 - ieeexplore.ieee.org
Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) has gained
enormous prominence over the years primarily in the field of medical science. Detection …
enormous prominence over the years primarily in the field of medical science. Detection …
Brain tumor segmentation using OTSU embedded adaptive particle swarm optimization method and convolutional neural network
S Vijh, S Sharma, P Gaurav - Data Visualization and Knowledge …, 2020 - Springer
Medical imaging and deep learning have tremendously shown improvement in research
field of brain tumor segmentation. Data visualization and exploration plays important role in …
field of brain tumor segmentation. Data visualization and exploration plays important role in …
Validation of a point-of-care optical coherence tomography device with machine learning algorithm for detection of oral potentially malignant and malignant lesions
Simple Summary Early detection is crucial towards improving survival in patients diagnosed
with oral cancer. Non-invasive strategies equivalent to histology diagnosis are extremely …
with oral cancer. Non-invasive strategies equivalent to histology diagnosis are extremely …
Classifying tumor brain images using parallel deep learning algorithms
One of the most important resources used in today's world is image. Medical images can
play an essential role in helping diagnose diseases. Doctors and specialists use medical …
play an essential role in helping diagnose diseases. Doctors and specialists use medical …
Detecting pathological brain via ResNet and randomized neural networks
Brain disease is one of the leading causes of death nowadays. Medical imaging is the most
effective method for brain disease diagnosis, which provides a clear view of the interior …
effective method for brain disease diagnosis, which provides a clear view of the interior …
A sophisticated convolutional neural network model for brain tumor classification
NM Balasooriya, RD Nawarathna - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is one of the commonly used medical imaging modality
that provides informative data for brain tumor diagnosis other than Computed Tomography …
that provides informative data for brain tumor diagnosis other than Computed Tomography …
Detection and classification of tumour in brain MRI
P Thejaswini, B Bhat, K Prakash - International Journal of …, 2019 - search.proquest.com
Brain Tumour is an abnormal cell formation inside the brain. They are mainly classified as
benign and malignant tumours. Magnetic Resonance Imaging (MRI) is used for effective …
benign and malignant tumours. Magnetic Resonance Imaging (MRI) is used for effective …