Krishna Chandra Patra
Department of Electronics,Sambalpur University,Odisha - 768019, IndiaPublications
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				  Research Article 
 Brain tumour segmentation using SRGB colour space-based density assessment
 Author(s): Nibedita Pati*, Millee Panigrahi and Krishna Chandra Patra
 
 Medical image processing helps diagnose diseases early. Brain tumour segmentation is a medical imaging speciality. Computer vision and machine learning help doctors diagnose diseases effectively. This study uses Standard RGB (SRGB) density analysis to isolate brain tumours on MRI images. Input intensity values are normalized using SRGB colour space and a Gaussian filter to identify tumours from the background. Adaptive threshold identifies brain MRI tumour spaces. Brain tumour space is derived using area and density functions. Applying morphological functions eliminates false positives to detect the accurate tumour space. The proposed technique is evaluated using recall, precision, and F–measure. https://www.mobafire.com/profile/m.. Read More»
 DOI: https://doi.org/10.5281/zenodo.8115477
 
   
    
 
 
  Editors List
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         RAOUi Yasser
        Senior Medical Physicist 
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         Ahmed Hussien Alshewered
        University of Basrah College of Medicine, Iraq 
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         Sudhakar Tummala
        Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh 
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         Alphonse Laya
        Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis 
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         Fava Maria Giovanna
        
Google Scholar citation report
Citations : 558
Onkologia i Radioterapia received 558 citations as per Google Scholar report
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