Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches

This chapter focuses on modern deep learning techniques that are proposed for automatically recognizing and segmenting multiple organ regions on three-dimensional (3D) computed tomography (CT) images. CT images are widely used to visualize 3D anatomical structures composed of multiple organ regions...

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Vydané v:	Advances in experimental medicine and biology Ročník 1213; s. 135
Hlavný autor:	Zhou, Xiangrong
Médium:	Journal Article
Jazyk:	English Japanese
Vydavateľské údaje:	United States 2020
Predmet:	Deep Learning Humans Image Processing, Computer-Assisted - methods Tomography, X-Ray Computed - methods 2D-FCN Deep learning Image segmentation CNN CT image Multiple organs Majority voting Patch-based training
ISSN:	0065-2598
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