Probe position prediction and model construction method, system, equipment and medium

The invention provides a probe position prediction and model construction method, system, equipment and medium, and the construction method comprises the steps: building a three-dimensional body part model corresponding to a sample body part based on the sample detection data corresponding to the sa...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	ZHANG JIHONG, LI LONGJUN, ZHANG GANJUN, HE LIGANG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The invention provides a probe position prediction and model construction method, system, equipment and medium, and the construction method comprises the steps: building a three-dimensional body part model corresponding to a sample body part based on the sample detection data corresponding to the sample body part, and obtaining a three-dimensional body part model according to the three-dimensional data corresponding to the three-dimensional body part model. And simulating virtual probe positioning data and virtual probe scanning data corresponding to the virtual probe, obtaining a two-dimensional structure sample data set corresponding to the body part of the sample based on the virtual probe positioning data and the virtual probe scanning data, and training according to the two-dimensional structure sample data set to obtain a probe position prediction model. The actual detection probe corresponding to the input actual detection data and the actual positioning data when the actual body part is detected are p