Results 41 to 50 of about 574,013 (307)
Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy
Lung cancer is the leading cause of cancer-related mortality for males and females. Radiation therapy (RT) is one of the primary treatment modalities for lung cancer.
Xi Liu +7 more
doaj +1 more source
To evaluate the clinical applicability of deep learning based auto-segmentation of organs at risk (OARs) based on geometric and dosimetric indices. In this study, a total of 35 patients with rectal cancer who received radiotherapy in the Fudan University
GUO Hongbo +4 more
doaj +1 more source
مقدمه: هدف از انجام این مطالعه، پیشبینی و مقایسهی توزیع دز در اعضای حیاتی سالم در پرتودرمانی سرطان بیضه از نوع سمینومای مرحلهی 1 برای دز یکسان به حجم هدف در دو روش دو بعدی (2 Dimensional) مرسوم و سه بعدی (3 Dimensional) تطبیقی بود.
Hamid Ghaznavi +3 more
doaj +1 more source
Background This study investigates the accuracy of 3D-printed dental stents in intensity-modulated radiotherapy (IMRT) for oropharyngeal cancer (OPC) and their dosimetric effects on normal tissues.
Jungang Ma +11 more
doaj +1 more source
Viruses are among the most common causes of opportunistic infection after solid organ and hematopoietic stem cell transplantation (SOT and HSCT). Viral infection is associated with both direct (invasive disease) and indirect (immune modulation) effects affecting susceptibility to other infections and promoting allograft rejection.
Kotton, C.N. +2 more
openaire +1 more source
Organizations, Risk Translation, and the Ecology of Risks: The Discursive Construction of a Novel Risk [PDF]
The contemporary ‘risk society’ is associated with the emergence of a wide range of risks characterised by uncertainty and unfamiliarity. These ‘novel’ risks pose a major challenge for organizations: their negative effects may be significant, but prevailing risk assessment techniques are limited in their ability to identify them.
Hardy, C, Maguire, S
openaire +2 more sources
Evaluating the Effectiveness of Deep Learning Contouring across Multiple Radiotherapy Centres
Background and purpose: Deep learning contouring (DLC) has the potential to decrease contouring time and variability of organ contours. This work evaluates the effectiveness of DLC for prostate and head and neck across four radiotherapy centres using a ...
Zoe Walker +9 more
doaj +1 more source
Dosimetric data of organs at risk.
Dosimetric data of organs at risk.
Kyeong-Hyeon Kim (5954705) +8 more
core +1 more source
Dose distribution in organs at risk.
Doses [Gy] in organs at risk of all patients for 30 treatment fractions are demonstrated. Maximum shielding of the eyeballs resulted in mean doses in the optic nerves from 1.19 Gy to 46.18 Gy (max 63.44, min 0,88 Gy).
Stephan Garbe (723894) +12 more
core +1 more source
Interobserver variability in organ at risk delineation in head and neck cancer
Background In radiotherapy inaccuracy in organ at risk (OAR) delineation can impact treatment plan optimisation and treatment plan evaluation. Brouwer et al.
J. van der Veen +4 more
doaj +1 more source

