Essays about: "radiotherapy"
Showing result 21 - 25 of 158 essays containing the word radiotherapy.
-
21. Hypoxic Target Volume Determination in PET/CT Imaging : The Impact of Deformable Image Registration
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Using a tailored dose distribution for personalized radiotherapy with the help of positron emission tomography (PET) might give an edge for successful tumour elimination. One of the main determinants for tumour radioresistance in several solid tumours has been investigated as hypoxia, including head and neck cancer (HNC). READ MORE
-
22. Salivary flow rate and xerostomia in patients with head and neck cancer after radiation therapy
University essay from Umeå universitet/TandläkarutbildningAbstract : Background: Radiation therapy used for head and neck cancer patients cause many side effects in the oral cavity and above all affects the salivary glands. Complaint of dry mouth (xerostomia) and hyposalivation are common as well as swallowing difficulty (dysphagia) even after the cancer is remitted. READ MORE
-
23. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation
University essay from KTH/Optimeringslära och systemteoriAbstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE
-
24. Monte Carlo simulations of Linear Energy Transfer distributions in radiation therapy
University essay from Uppsala universitet/HögenergifysikAbstract : In radiotherapy, a quantity asked for by clinics when calculating a treatment plan, along withdose, is linear energy transfer. Linear energy transfer is defined as the absorbed energy intissue per particle track length and has been shown to increase with relative biologicaleffectiveness untill the overkilling effect. READ MORE
-
25. Deep Learning for Dose Prediction in Radiation Therapy : A comparison study of state-of-the-art U-net based architectures
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Machine learning has shown great potential as a step in automating radiotherapy treatment planning. It can be used for dose prediction and a popular deep learning architecture for this purpose is the U-net. Since it was proposed in 2015, several modifications and extensions have been proposed in the literature. READ MORE