المؤلفون: Eung-Joo Lee, William Plishker, Xinyang Liu, Shuvra S. Bhattacharyya, Raj Shekhar

المصدر: Healthcare Technology Letters (2019)

مصطلحات موضوعية: endoscopes, computer vision, learning (artificial intelligence), surgery, image segmentation, medical image processing, medical robotics, image sequences, tracking, neural nets, annotated training data, surgical tool segmentation, laparoscopic image processing, light-weight deep segmentation network, binary segmentation mask, automatic tool segmentation, robust tool tracking, supervised segmentation, real-time surgical tool tracking, surgical scenarios, electromagnetic tracking, vision-based methods, tracking robustness, deep learning-based methods, pixel-wise training data, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0083; https://doaj.org/toc/2053-3713

URL الوصول: https://doaj.org/article/5ef33474476948a5930a60435f2d519e