Medical Image Segmentation Methods Overview
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Дата
2018
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
КПІ ім. Ігоря Сікорського
Анотація
This article provides an overview of the modern medical image segmentation methods. The most popular methods such as multi-atlas based methods and deep learning approach are considered in more details. In addition, this article overviews different steps of the multi-atlas based methods (MAS) in detail and shows which modern algorithms and approaches used in different steps of MAS to achieve state of the art results in the medical image segmentation task and how it affects the accuracy of the algorithm. Also, there is a brief description of the modern deep learning algorithms which are used for the medical image segmentation. Such type of algorithm is used as an independent algorithm or as a part of the MAS. Finally, this article summarizes described algorithms and evaluates which approaches promise to improve state of the art result of the medical image segmentation in the future.
Опис
Ключові слова
medical image segmentation, multi-atlas based method, deep learning approach
Бібліографічний опис
Chapaliuk, B. Medical Image Segmentation Methods Overview / B. V. Chapaliuk, Yu. P. Zaychenko // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2018. – № 1. – С. 72-81. – Бібліогр.: 50 назв.