Search alternatives:
surface optimization » surface contamination (Expand Search), resource optimization (Expand Search), swarm optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
data surface » earth surface (Expand Search), metal surface (Expand Search), total surface (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
based dose » based case (Expand Search), based dosing (Expand Search)
surface optimization » surface contamination (Expand Search), resource optimization (Expand Search), swarm optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
data surface » earth surface (Expand Search), metal surface (Expand Search), total surface (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
based dose » based case (Expand Search), based dosing (Expand Search)
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PathOlOgics_RBCs Python Scripts.zip
Published 2023“…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …”
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Presentation_1_Finite Element-Based Personalized Simulation of Duodenal Hydrogel Spacer: Spacer Location Dependent Duodenal Sparing and a Decision Support System for Spacer-Enabled...
Published 2022“…Finally, in the prediction phase, using the result of the simulation phase, we created a Bayesian DSS to predict the optimal spacer location and biological effective dose (BED).…”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”