A Novel Approach for Hybrid Image Segmentation GCPSO: FCM Techniques for MRI Brain Tumour Identification and Classification

P Kavitha, P Jayagopal… - Computational …, 2022 - Wiley Online Library
In recent times, the early detection of brain tumour analysis and classification has become a
very vital part of the medical field. The MRI scan image is the most significant tool to study …

Brain Tumor Analysis in BASF Framework

P Kavitha - 2019 - shodhganga.inflibnet.ac.in
Working of a person, animal or plant is affected by a disease or illness preventing the body
or mind from its normal working. A member of a population who is at risk of becoming …

Multimodal MR Brain Image Segmentation using Hybrid Optimization Techniques for Earlier Prognosis of Tumor

B Karun, TA Prasath, MP Rajasekaran… - … Technologies for High …, 2023 - ieeexplore.ieee.org
Segmentation of medical images is the process of dividing an image into regions that have
some characteristics that are homogeneous and consistent. Medical image segmentation for …

Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage

S Kollem, CR Prasad, J Ajayan, V Malathy… - Multimedia Tools and …, 2023 - Springer
Because of the variety of shapes, locations, and image intensities, image segmentation is a
more difficult endeavor in image processing. The most frequent diseases in the world are …

Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue …

A Narayanan, MP Rajasekaran, Y Zhang… - Biocybernetics and …, 2019 - Elsevier
Growth of cancer cells within the human body is a major outcome of the manipulation of cells
and it has resulted in the deterioration of the life span of humans. The impact of cancer cells …

An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain …

A Vishnuvarthanan, MP Rajasekaran… - Applied Soft …, 2017 - Elsevier
In the domain of human brain image analysis, identification of tumor region and
segmentation of tissue structures tend to be a challenging task. Automated segmentation of …

MRI brain images healthy and pathological tissues classification with the aid of improved particle swarm optimization and neural network

V Sheejakumari… - … mathematical methods in …, 2015 - Wiley Online Library
The advantages of magnetic resonance imaging (MRI) over other diagnostic imaging
modalities are its higher spatial resolution and its better discrimination of soft tissue. In the …

Multi-channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors

S Alagarsamy, K Kamatchi, V Govindaraj… - Biocybernetics and …, 2019 - Elsevier
Segregation of tumor region in brain MR image is a prominent task that instantly provides
easier tumor diagnosis, which leads to effective radiotherapy planning. For decades …

Hybrid WCA–SCA and modified FRFCM technique for enhancement and segmentation of brain tumor from magnetic resonance images

S Mishra, DJ Gelmecha, RS Singh… - Biomedical …, 2021 - World Scientific
Enhancement of image plays an important and vital role in preprocessing the magnetic
resonance images (MRI). At the same time, image segmentation techniques are also …

[HTML][HTML] Brain tumor segmentation of MR images using SVM and fuzzy classifier in machine learning

R Vankdothu, MA Hameed - Measurement: Sensors, 2022 - Elsevier
Medical image processing is a rapidly growing and concentrating topic today. Medical
image analysis techniques are used to diagnose and cure illnesses. One such fundamental …