Methods and apparatus for automated specimen characterization using diagnostic analysis system with continuous performance based training
Опубликовано: 07-09-2022
Автор(ы): Ankur KAPOOR, Benjamin S. Pollack, Rayal Raj Prasad NALAM VENKAT, Venkatesh NARASIMHAMURTHY, Vivek Singh, Yao-Jen Chang
Принадлежит: Siemens Healthcare Diagnostics Inc
Реферат: A method of characterizing a specimen to be analyzed in an automated diagnostic analysis system provides a segmentation determination and/or an HILN (hemolysis, icterus, lipemia, normal) determination of the specimen while providing characterization training updates based on the accuracy and/or confidence in the determinations. The method includes identifying an incorrect or low confidence segmentation or HILN determination, forwarding the incorrect or low confidence determination from the HILN network to a database, and providing one or more training images to the HILN network based on the incorrect or low confidence determination. Quality check modules and systems configured to carry out the method are also described, as are other aspects.
Method and magnetic resonance apparatus for quality control in planning radiotherapy of a patient
Номер патента: US20170021195A1. Автор: Bernd Schweizer. Владелец: Siemens Healthcare GmbH. Дата публикации: 2017-01-26.