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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
, 2016 Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches are only able to process 2D images while most medical data used ...
Ahmadi, Seyed-Ahmad +2 more
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مجله دانشکده پزشکی اصفهان, 2017 Background: In laparoscopy of colorectal tumors, titanium clips are used to close the surgery site. For post-operation treatment with radiation, the clips might change the dose distribution.
Razieh Karimi +4 more
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Evaluation of Perkin Elmer Amorphous Silicon Electronic Portal Imaging Device for Small Photon Field Dosimetry [PDF]
Journal of Biomedical Physics and EngineeringBackground: Electronic portal imaging devices (EPIDs) are applied to measure the dose and verify patients’ position.Objective: The present study aims to evaluate the performance of EPID for measuring dosimetric parameters in small photon fields.Material ...
Mohammad Haghparast +4 more
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Focal Spot, Fall/Winter 1988 [PDF]
, 1988 https://digitalcommons.wustl.edu/focal_spot_archives/1050/thumbnail ...
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New approach to treatment planning: Plenary lecture [PDF]
Archive of Oncology, 2002 Suter Bruno
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IEEE Access, 2019 Accurate segmentation of organs at risk (OARs) plays a critical role in the treatment planning of image-guided radiotherapy of head and neck cancer. This segmentation task is challenging for both humans and automated algorithms because of the relatively ...
Yueyue Wang +3 more
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Computer- and robot-assisted Medical Intervention
, 2009 Medical robotics includes assistive devices used by the physician in order to make his/her diagnostic or therapeutic practices easier and more efficient. This chapter focuses on such systems.
Troccaz, Jocelyne
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