Imaging flow cytometry combined with machine learning appears to be a promising tool in haematology, allowing a high input blood cell recognition and quantification. Red blood cell diseases seem to be ...

ObjectiveTo evaluate the performance of 2D and 3D radiomics features with different machine learning approaches to classify ... (LR), Linear Discriminant Analysis(LDA), Support Vector Machine(SVM), ...

Support vector Machine (SVM) model is a supervised machine learning algorithm, which can be applied to the classification of discrete variables and the prediction of continuous variables. Most of the ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

We demonstrate that IFC can represent a reliable tool for operator-independent schistocyte quantification with no pre-analytical processing which is of most importance in emergency situations such as ...