Interpretation assistance system and method for pulmonary nodule
The present invention provides an interpretation assistance system for pulmonary nodules, which comprises: an inference server, an image server and a reporting auxiliary information subsystem. The inference server receives a set of lung computed tomography (CT) images and respectively inputs them in...
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creator | MO, YUAN-HENG FAN, JUN-KAI WENG, CHI-HUNG HOU, KUEI-YUAN LIN, SEN-PING WANG, YUNGNG |
description | The present invention provides an interpretation assistance system for pulmonary nodules, which comprises: an inference server, an image server and a reporting auxiliary information subsystem. The inference server receives a set of lung computed tomography (CT) images and respectively inputs them into a plurality of inference models to obtain a plurality of nodule data, deletes the nodule data corresponding to the overlapped bounding box information, and outputs an inferred nodule data and the set of Lung CT images. The image server marks the nodule detection position on the set of lung CT images according to the inferred nodule data. The reporting auxiliary information subsystem displays the marked lung CT images and the inferred nodule data, receives a confirmed nodule data edited by a user for the inferred nodule data, and finally copies the confirmed nodule data to a report system. |
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The inference server receives a set of lung computed tomography (CT) images and respectively inputs them into a plurality of inference models to obtain a plurality of nodule data, deletes the nodule data corresponding to the overlapped bounding box information, and outputs an inferred nodule data and the set of Lung CT images. The image server marks the nodule detection position on the set of lung CT images according to the inferred nodule data. 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The inference server receives a set of lung computed tomography (CT) images and respectively inputs them into a plurality of inference models to obtain a plurality of nodule data, deletes the nodule data corresponding to the overlapped bounding box information, and outputs an inferred nodule data and the set of Lung CT images. The image server marks the nodule detection position on the set of lung CT images according to the inferred nodule data. 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The inference server receives a set of lung computed tomography (CT) images and respectively inputs them into a plurality of inference models to obtain a plurality of nodule data, deletes the nodule data corresponding to the overlapped bounding box information, and outputs an inferred nodule data and the set of Lung CT images. The image server marks the nodule detection position on the set of lung CT images according to the inferred nodule data. The reporting auxiliary information subsystem displays the marked lung CT images and the inferred nodule data, receives a confirmed nodule data edited by a user for the inferred nodule data, and finally copies the confirmed nodule data to a report system.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
title | Interpretation assistance system and method for pulmonary nodule |
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