3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility

This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory phases with a lung tumor and predict the lung tumor displacement. Specifically, the proposed scheme is driven by two time-series deep-learning algorithmic models: The respiratory-phase classification...

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Bibliographic Details
Main Authors:	Dankulchai, P. (Author), Phasukkit, P. (Author), Puangragsa, U. (Author), Setakornnukul, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	3D camera Biological organs Cameras Classification (of information) Deep learning External surrogate Forecasting Kinect cameras Kinect v.2 Kinect V.2 Learning algorithms Lung cancer Lung Cancer Lung tumor Mean square error Respiratory phasis Time series Times series Time-series deep learning Times-series deep learning Tumors
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility

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