Analysis of Medical Image Segmentation using Dimensional Analysis
Jing Alam
Corresponding
Indian Institute of Science
Elena Silva
Technical University of Munich
Abstract
Ensuring the safety of food processing industries requires a detailed understanding of the long-term evolution of medical image segmentation. This study employs dimensional analysis to characterise the phenomenon under a range of controlled conditions. Predicted values agreed with the experimental data to within 43%, confirming the model. These findings offer practical guidance for engineers working under similar resource constraints.
Keywords:
medical image segmentationdimensional analysisdeep learningseismic analysiscomputational fluid dynamicsbiomass
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