SIEĆ NEURONOWA I ALGORYTM KONWOLUCYJNY DO WYODRĘBNIANIA KSZTAŁTÓW W SYSTEMIE E-MEDICUS
Tomasz Rymarczyk, Barbara Stefaniak, Przemysław Adamkiewicz
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska · 2018
doi:10.5604/01.3001.0012.5282 (opens in a new tab)
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Abstract
The solution shows the architecture of the system collecting and analyzing data. There was tried to develop algorithms to image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. With the use of algorithms such as the level set method, neural networks and deep learning methods, it can obtain a quicker diagnosis and automatically marking areas of the interest region in medical images.
Abstract licence: CC BY
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