In 2017, Ezekiel Emanuel, a well-known oncologist and health policy commentator, said radiologists would soon be out of work thanks to machine learning ... is designed to support radiology ...

Artificial Intelligence in medecine 53, 107-118. Fouodo K. C. J. and König I. R. and Weihs C. and Ziegler A. and Wright M. N. (2018) Support Vector Machines for Survival Analysis with R. The R Journal ...

Abstract: As a benchmark supervised learning algorithm, support vector machine (SVM) has drawn much attention and reported plenty of impressive results in hyperspectral images (HSIs) classification.

The goal of a machine learning ... and linear support vector regression (linear SVR). This article presents a demo of linear SVR, implemented from scratch, using the C# language, with an evolutionary ...

Abstract: In recent years, significant progress has been made in prototype-based learning methods for few-shot semantic segmentation. However, prototype features originating from the support images ...

Our image analysis software performs segmentation of the cellular areas with cell surface expression of the prostate-specific membrane antigen to improve the precision of therapy and its customization ...

The proposed method is a combination of signal processing techniques and machine learning algorithms, including multi-layer perceptron (MLP), K-nearest neighbor (KNN), naïve Bayes, and support vector ...

Interarea phase synchronization and its role in prediction were explored using the phase-locking value and support vector machine classifiers ... may be resolved by tuning the classification algorithm ...