Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jeremy Drysdale"'
Autor:
Huanxiang, Lu, Junbo, Li, Qiang, Lu, Shyam, Bharat, Ramon, Erkamp, Bin, Chen, Jeremy, Drysdale, Francois, Vignon, Ameet, Jain
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17(Pt 2)
2D Ultrasound (US) is becoming the preferred modality for image-guided interventions due to its low cost and portability. However, the main limitation is the limited visibility of surgical tools. We present a new sensor technology that can easily be
Autor:
Ramon Quido Erkamp, Patrick G. Rafter, Sheng-Wen Huang, David Prater, Shougang Wang, Karl Thiele, Emil George Radulescu, Douglas Maxwell, Clement Dupuy, Jeremy Drysdale
Publikováno v:
SPIE Proceedings.
Successful ultrasound data collection strongly relies on the skills of the operator. Among different scans, echocardiography is especially challenging as the heart is surrounded by ribs and lung tissue. Less experienced users might acquire compromise
Autor:
Qiang Lu, Ramon Quido Erkamp, Junbo Li, Bin Chen, Huanxiang Lu, Francois Guy Gerard Marie Vignon, Ameet Kumar Jain, Shyam Bharat, Jeremy Drysdale
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 ISBN: 9783319104690
MICCAI (2)
MICCAI (2)
2D Ultrasound (US) is becoming the preferred modality for image-guided interventions due to its low cost and portability. However, the main limitation is the limited visibility of surgical tools. We present a new sensor technology that can easily be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c36c5e6ea5d875facc69db70695a3fe
https://doi.org/10.1007/978-3-319-10470-6_49
https://doi.org/10.1007/978-3-319-10470-6_49
Publikováno v:
AJR. American journal of roentgenology. 200(2)
The purpose of this article is to evaluate the performance of radiologists using a prototype clinical decision support system to diagnose and manage patients with breast cancer based on dynamic contrast-enhanced MRI studies.The study was conducted wi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Computer-aided detection (CAD) algorithms 'automatically' identify lung nodules on thoracic multi-slice CT scans (MSCT) thereby providing physicians with a computer-generated 'second opinion'. While CAD systems can achieve high sensitivity, their lim