Deep learning for smart Healthcare—A survey on brain tumor detection from medical imaging
M Arabahmadi, R Farahbakhsh, J Rezazadeh - Sensors, 2022 - mdpi.com
Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …
use of technology in medicine has made significant contributions to human society. In this …
An enhanced deep learning approach for brain cancer MRI images classification using residual networks
Cancer is the second leading cause of death after cardiovascular diseases. Out of all types
of cancer, brain cancer has the lowest survival rate. Brain tumors can have different types …
of cancer, brain cancer has the lowest survival rate. Brain tumors can have different types …
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
Accurate classification of brain tumor subtypes is important for prognosis and treatment. In
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI
L Hussain, AA Malibari, JS Alzahrani, M Alamgeer… - Scientific Reports, 2022 - nature.com
Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are developing tools based on static and dynamic feature extraction and …
Researchers are developing tools based on static and dynamic feature extraction and …
An efficient automatic brain tumor classification using LBP features and SVM-based classifier
K Deepika, JD Bodapati, RK Srihitha - Proceedings of International …, 2019 - Springer
Brain tumor detection is a tedious task which involves a lot of time and expertise. With each
passing year, the world has always witnessed an increase in the number of cases of brain …
passing year, the world has always witnessed an increase in the number of cases of brain …
Implementing Deep Learning and Machine Learning Technologies In Brain Disease Diagnosis
P Pimple, MA Wakchaure - 2024 15th International Conference …, 2024 - ieeexplore.ieee.org
The early identification of brain diseases is important for prompt clinical intervention and
effective treatment. Manual detection of brain tumors is complex and heavily reliant on …
effective treatment. Manual detection of brain tumors is complex and heavily reliant on …
Automated detection and segmentation of brain tumor using genetic algorithm
VK Lakshmi, CA Feroz… - … Conference on Smart …, 2018 - ieeexplore.ieee.org
Medical image processing is the most emerging and challenging field nowadays. Magnetic
Resonance Images act as a main source for the development of classification system. The …
Resonance Images act as a main source for the development of classification system. The …
Image classification of intracranial tumor using deep residual learning technique
GV Sagar, MR Kumar, SH Ahammad… - Multimedia Tools and …, 2024 - Springer
Classifying brain tumours is essential for diagnosing tumour progression and planning
effective treatments. Different imaging modalities are used to diagnose brain tumours. The …
effective treatments. Different imaging modalities are used to diagnose brain tumours. The …
Automated multi-class brain tumor types detection by extracting RICA based features and employing machine learning techniques
Brain tumor is the leading reason of mortality across the globe. It is obvious that the chances
of survival can be increased if the tumor is identified and properly classified at an initial …
of survival can be increased if the tumor is identified and properly classified at an initial …
A series of exponential function, as a novel methodology in detecting brain tumor
Tumor plays a critical role in human survival. The perception of a brain tumor approved by
the expert; for the timely finding of the tumorous region from MR (Magnetic Resonance) …
the expert; for the timely finding of the tumorous region from MR (Magnetic Resonance) …