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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Automated Detection of Heterogeneity in Medical Tactile Imagesстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 26 сентября 2016 г.
- Авторы: Solodova R., Staroverov V., Galatenko V., Galatenko A., Solodov E., Antonov A., Budanov V., Sokolov M., Sadovnichy V.
- Сборник: Medicine Meets Virtual Reality 22
- Серия: Studies in Health Technology and Informatics
- Том: 220
- Год издания: 2016
- Место издания: IOS Press
- Первая страница: 383
- Последняя страница: 389
- DOI: 10.3233/978-1-61499-625-5-383
- Аннотация: Artificial tactile sensing is a capability important for many applications and, in particular, for endoscopic surgery. A recently developed Medical Tactile Endosurgical Complex (MTEC) that is a certified and commercially available product is an efficient tool that provides such a capability. Currently the analysis of intraoperative tactile images that are registered and visualized by MTEC is performed manually by a surgeon. We show that heterogeneity detection - a key constituent of intraoperative tactile images analysis - can be efficiently automated. Such automation essentially reduces the requirement of attention retaining during the MTEC-based palpation.
- Добавил в систему: Галатенко Владимир Владимирович