3D SEGMENTATION OF LESIONS IN CT IMAGES USING SELF-SUPERVISED PRETRAINING WITH AUGMENTATION

A method or system for training a convolutional neural network (CNN) for medical imaging analysis. The system pre-trains the CNN's encoder using a dataset of unlabeled 3D medical images. Each 3D image includes an annotated slice delineating a boundary of a lesion and multiple non-annotated 2D s...

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Bibliographische Detailangaben

Hauptverfasser:	Liu, Yiqiao, Goldmacher, Gregory, Chen, Antong
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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