Machine Learning Technique to Detect Radiations in the Brain · 1 Department of Computer Science and Engineering, Kongu Engineering College, Erode, 638060, India
Automatic segmentation is performed for the brain to attain the microscopic images from the prejudicial geometrical characteristics that are removed to detect ...
Sep 19, 2023 · We investigated machine learning (ML) models for early detection of brain metastases based on diffusion weighted imaging (DWI) radiomics.
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Abstract: The brain of humans and other organisms is affected in various ways through the electromagnetic field (EMF) radiations generated by mobile phones ...
The proposed system is an optimal approach that automatically identifies the effect of revelation of EMF with minimal time complexity, where the machine ...
Jul 28, 2023 · Radiomics involves the extraction of quantitative features from medical images, which can provide more detailed and objective information about the features of ...
This paper contributes the development of machine learning based algorithm to identify the changes in brain morphology of drosophila melanogaster due to EMF ...
Machine Learning Technique to Detect Radiations in the Brain med./bio. By: Gothai E, Baseera A, Prabu P, Venkatachalam K, Saravanan K, SathishKumar S.
Machine Learning Technique to Detect Radiations in the Brain ... Authors: E. Gothai; A. Baseera; P. Prabu; K. Venkatachalam; K. Saravanan; S. SathishKumar ...
In this regard, this research article proposes optimal broadcasting learning to detect changes in brain morphology due to the revelation of EMF. Here, ...