Morphological edge detection and brain tumor segmentation in Magnetic Resonance (MR) images based on region growing and performance evaluation of modified …

CJJ Sheela, G Suganthi - Multimedia Tools and Applications, 2020 - Springer
The medical image processing has become indispensable with an increased demand for
systematic and efficient detection of brain tumor in a short period of time. There are various …

Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance …

Z Papi, S Fathi, F Dalvand, M Vali, A Yousefi… - Neuroinformatics, 2023 - Springer
Glioma is the most common primary intracranial neoplasm in adults. Radiotherapy is a
treatment approach in glioma patients, and Magnetic Resonance Imaging (MRI) is a …

Investigation of image processing based real-time flood monitoring

Q Zhang, N Jindapetch… - 2018 IEEE 5th …, 2018 - ieeexplore.ieee.org
Image processing in various monitoring systems has been known recently. The accuracy of
detection and prediction in the image region is one of the critical issues for many …

A novel computer aided diagnostic system for quantification of metabolites in brain cancer

MA Javid, SA Buzdar - Biomedical Signal Processing and Control, 2021 - Elsevier
Cancer diagnosis is one of the challenging tasks in medical image processing. First time, we
have explored a novel method that locates tumors and its sub-regions using magnetic …

Application of modified balanced iterative reducing and clustering using hierarchies algorithm in parceling of brain performance using fMRI data

N Valizadeh, S Khodakarim, SM Tabatabaei, A Saffar… - Koomesh, 2020 - brieflands.com
: Introduction: Clustering of human brain is a very useful tool for diagnosis, treatment, and
tracking of brain tumors. There are several methods in this category in order to do this. In this …

Treatment response assessment of glioma tumors using deep learning based on magnetic resonance imaging

Z Papi, S Fathi, F Dalvand, M Vali, A Yousefi… - 2023 - researchsquare.com
Background: Glioma is the most common primary intracranial neoplasm in adults.
Radiotherapy is a treatment approach in glioma patients, and Magnetic Resonance Imaging …

Hand Recognition System Based on Invariant Moments Features

SA Alazawi, RA Hasan, AA Abdulhameed - Research in Intelligent and …, 2021 - Springer
Invariant moments are most used in the pattern recognition system because it has inclusive
properties that do not change in an image scaling, rotates, and translates. For hand shape …

[PDF][PDF] A Survey of Brain Tumour Segmentation Methods: A Review

S Kaur, N Kaur - International Journal on Future Revolution in Computer … - core.ac.uk
Brain tumor segmentation aims to separate the different tumor tissues such as active cells,
necrotic core, and edema from normal brain tissues of White Matter (WM), Gray Matter (GM) …

Lenssiz mikroskopi sisteminin tasarlanmasıve tıbbi örnekler üzerinde test edilmesi

MA Pala - 2019 - acikerisim.subu.edu.tr
Tıbbi örneklerin görüntülenmesi, klinikte teşhis ve tedavi süreçlerinin yürütülmesinde büyük
bir öneme sahiptir. Bu nedenle mikroskopların, medikal alanda geniş bir kullanım alanı …

[引用][C] Detection and segmentation the affected brain using ThingSpeak platform based on IoT cloud analysis

AA Mohammed, MAN Al-hayanni, HM Azzawi - Periodicals of Engineering and …, 2021