Results 141 to 150 of about 181,955 (322)

Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots [PDF]

arXiv
Robot-assisted surgery has profoundly influenced current forms of minimally invasive surgery. However, in transurethral suburethral urological surgical robots, they need to work in a liquid environment. This causes vaporization of the liquid when shearing and heating is performed, resulting in bubble atomization that affects the visual perception of ...
arxiv  

Robotic-Assisted Surgery for Benign Urological Conditions

The Scientific World Journal, 2006
Robotic technology for use in surgery has advanced considerably in the past 10 years. This has become particularly apparent in urology where robotic-assisted radical prostatectomy using the da VinciTM surgical system (Intuitive Surgical, CA) has become ...
Declan G. Murphy, Ben J. Challacombe, Lail-U-Mah Zaheer, M. Shamim Khan, Prokar Dasgupta   +4 more
doaj   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot [PDF]

arXiv
Surgical interventions, particularly in neurology, represent complex and high-stakes scenarios that impose substantial cognitive burdens on surgical teams. Although deliberate education and practice can enhance cognitive capabilities, surgical training opportunities remain limited due to patient safety concerns. To address these cognitive challenges in
arxiv  

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

SPRK: A Low-Cost Stewart Platform For Motion Study In Surgical Robotics

, 2017
To simulate body organ motion due to breathing, heart beats, or peristaltic movements, we designed a low-cost, miniaturized SPRK (Stewart Platform Research Kit) to translate and rotate phantom tissue.
Goldberg, Ken, Goncalves, Aimee, Krishnan, Sanjay, Patel, Vatsal   +3 more
core   +1 more source

DICOM attribute manipulation tool: Easily change frame of reference, series instance, and SOP instance UID

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley   +1 more source

Deep learning-based localization of the biliary tract in laparoscopic images acquired during surgical robotic procedures [PDF]

, 2021
Cristina Iacono, Sara Moccia, Aldo Marzullo, Elena De Momi, Umberto Bracale, Fanny Ficuciello   +5 more
openalex   +1 more source

New robotic platform for transoral robotic surgery: an IDEAL stage 0 study

BMJ Surgery, Interventions, & Health Technologies
Objectives This study aims to assess the feasibility to perform transoral robotic surgery (TORS) with a new robotic platform, the Versius Surgical System (CMR Surgical, UK) in a preclinical cadaveric setting in accordance to stage 0 of the IDEAL-D ...
Prokar Dasgupta, Asit Arora, Jack Faulkner, Sebastien Ourselin, Mark Slack, Jean-Pierre Jeannon, Vinidh Paleri, Karan Kapoor, Ali Al-Lami, Oladejo Olaleye, Stuart Winter, Geogios Oikonomou, Enyi Ofo   +12 more
doaj   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source