Neha Goel – författare

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images.This book:Covers the procedure to recognize emotions using image processing and the Internet of Things-enabled machine learningHighlights security and privacy issues in the healthcare system using the Internet of ThingsDiscusses classification and implementation techniques of image segmentationExplains different algorithms of machine learning for image processing in a comprehensive mannerProvides computational intelligence on the Internet of Things for future biomedical applications including lung cancerIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

This handbook is a compilation of major clinical trials in all subspecialties in the field of ophthalmology.Each trial is presented in a uniform manner, detailing the background and purpose of the study, design, number of subjects with inclusion and exclusion criteria, outcomes, then results and conclusions.Topics include glaucoma, cornea, diabetic retinopathy, age-related macular degeneration, retinal detachment, neuro-ophthalmology, ocular melanoma, and many more.Trials are arranged chronologically or in order of significance, with extensive referencing for further reading.‘At a glance’ tables summarising each trial are also included.  The previous edition of this comprehensive text (9789350907740) published in 2013.