Огляд методів сегментації медичних зображень

• Дата: 2018
• Автори та афіліації: Bohdan V. Chapaliuk — The Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv; Yuriy P. Zaychenko — The Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv
• Ключові слова: keywords
• Автори: Chapaliuk, Bohdan V., Zaychenko, Yuriy P.
• Формат: Стаття
• Мова: Англійська
• Опубліковано: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2018
• Теми: сегментація медичних зображень; багато-атласні методи; глибинне навчання
• Онлайн доступ: https://journal.iasa.kpi.ua/article/view/126679
• Назва журналу: System research and information technologies

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 deta...