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Classification of Electrical Impedance Tomography Data Using Machine Learning
In this article, we present a new approach to promote the use of EIT data and the implementation of new clinical applications for differential diagnosis, with the development of several machine learning models to discriminate between EIT data from healthy and non-healthy subjects.
Influence of Event Duration on Automatic Wheeze Classification
Then, by changing one parameter in the design of the non-wheeze class, i. e., event duration, the best classifier only reached sensitivity and specificity values of 55% and 76%, respectively.
An open access database for the evaluation of respiratory sound classification algorithms
###Objective: Over the last few decades, there has been significant interest in the automatic analysis of respiratory sounds.
Accurate Segmentation of Dermoscopic Images based on Local Binary Pattern Clustering
Segmentation is a key stage in dermoscopic image processing, where the accuracy of the border line that defines skin lesions is of utmost importance for subsequent algorithms (e. g., classification) and computer-aided early diagnosis of serious medical conditions.
