Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
Magnetic resonance imaging (MRI) is effectively used for accurate diagnosis of acute
ischemic stroke. This paper presents an automated method based on computer aided …
ischemic stroke. This paper presents an automated method based on computer aided …
Medical image segmentation methods, algorithms, and applications
Medical images have made a great impact on medicine, diagnosis, and treatment. The most
important part of image processing is image segmentation. Many image segmentation …
important part of image processing is image segmentation. Many image segmentation …
Application of machine learning techniques for characterization of ischemic stroke with MRI images: a review
Magnetic resonance imaging (MRI) is a standard tool for the diagnosis of stroke, but its
manual interpretation by experts is arduous and time-consuming. Thus, there is a need for …
manual interpretation by experts is arduous and time-consuming. Thus, there is a need for …
A survey on image segmentation methods using clustering techniques
N Dhanachandra, YJ Chanu - European Journal of Engineering and …, 2017 - ej-eng.org
Image segmentation has been considered as the first step in the image processing. An
efficient segmentation result would make it easier for further analysis of image processing …
efficient segmentation result would make it easier for further analysis of image processing …
Computer-aided detection system for breast cancer based on GMM and SVM
Region-of-interest (ROI) segmentation is an important critical step and challenging task in
the evolution of computer-aided detection (CAD) system for breast cancer. The discovery of …
the evolution of computer-aided detection (CAD) system for breast cancer. The discovery of …
Sonar image segmentation and quality assessment using prominent image processing techniques
Sound navigation and ranging (SONAR) is a technique that uses sound propagation to
navigate, communicate or to detect objects on or under the surface of the water. It even …
navigate, communicate or to detect objects on or under the surface of the water. It even …
Application of image processing techniques and artificial neural network for detection of diseases on brinjal leaf
S Abisha, T Jayasree - IETE Journal of research, 2022 - Taylor & Francis
The plant diseases cause damage and monetary losses in crops. The farmers monitor the
crops in the field at regular intervals in order to detect various diseases. Instead of manual …
crops in the field at regular intervals in order to detect various diseases. Instead of manual …
Brain image segmentation using a combination of expectation‐maximization algorithm and watershed transform
Watershed transformation is an effective segmentation algorithm that originates from the
mathematical morphology field. This algorithm is widely used in medical image …
mathematical morphology field. This algorithm is widely used in medical image …
Gaussian mixture model-expectation maximization algorithm for brain images
FAB Kasim, HS Pheng, SZB Nordin… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Segmentation of human brain can be performed with the aid of mathematical algorithm as
well as computer-based system to assist radiologists and medical related profession to …
well as computer-based system to assist radiologists and medical related profession to …
Analysis of Early Stroke Diagnosis Based on Brain Magnetic Resonance Imaging using Machine Learning
Stroke causes paralysis resulting from a hemorrhage in the brain or blockage of blood flow
to the brain. It is third leading cause of death in Malaysia, with at least 32 deaths per day …
to the brain. It is third leading cause of death in Malaysia, with at least 32 deaths per day …