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Machine Learning in Medical Imaging and Computer Vision

Name: Machine Learning in Medical Imaging and Computer Vision
Author: Arvind Dhaka (Hrsg.), Amita Nandal (Hrsg.), Todor Ganchev (Hrsg.), Farid Nait-Abdesselam (Hrsg.), Liang Zhou (Hrsg.)

Arvind Dhaka (Hrsg.), Amita Nandal (Hrsg.), Todor Ganchev (Hrsg.), Farid Nait-Abdesselam (Hrsg.), Liang Zhou (Hrsg.)

EPUB

ca. 199,79 €

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The Institution of Engineering and Technology

Naturwissenschaften, Medizin, Informatik, Technik / Medizinische Fachberufe

Beschreibung

Medical images can highlight differences between healthy tissue and unhealthy tissue and these images can then be assessed by a healthcare professional to identify the stage and spread of a disease so a treatment path can be established. With machine learning techniques becoming more prevalent in healthcare, algorithms can be trained to identify healthy or unhealthy tissues and quickly differentiate between the two. Statistical models can be used to process numerous images of the same type in a fraction of the time it would take a human to assess the same quantity, saving time and money in aiding practitioners in their assessment.

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