Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans

Automatic localization of organs and other structures in medical images is an important preprocessing step that can improve and speed up other algorithms such as organ segmentation, lesion detection, and registration. This work presents an efficient method for simultaneous localization of multiple s...

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Veröffentlicht in:	Physics in medicine & biology 2018-04, Vol.63 (8), p.085003-085003
Hauptverfasser:	Humpire-Mamani, Gabriel Efrain, Setio, Arnaud Arindra Adiyoso, van Ginneken, Bram, Jacobs, Colin
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen - diagnostic imaging convolutional neural networks Humans Image Processing, Computer-Assisted - methods localization Neural Networks (Computer) oncology Radiography, Thoracic Tomography, X-Ray Computed
Online-Zugang:	Volltext
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