Sökning: "Radiation Therapy"
Visar resultat 1 - 5 av 162 uppsatser innehållade orden Radiation Therapy.
1. Robotic Automation of Mechanical Verification
Master-uppsats, KTH/Integrerad produktutveckling och designSammanfattning : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. LÄS MER
2. Sväljfunktion och nutritionsstatus efter strålbehandlad tonsillcancer : En långtidsuppföljning
Magister-uppsats, Uppsala universitet/LogopediSammanfattning : Årligen drabbas cirka 1600 personer i Sverige av cancer i huvud och halsområdet. Cancer i orofarynx har den snabbaste ökning av de olika huvud- och halscancerformerna vidare är tonsillcancer den vanligaste formen av orofaryngeal cancer. LÄS MER
3. Apoptosis induction in breast cancer cells after radiotherapy and potential radiosensitizers
Master-uppsats,Sammanfattning : Background. Today breast cancer is the foremost cancer death type amongst women around the world. At present some of the toughest challenges in the clinic is recurrent, radioresistant breast cancer, and metastatic breast cancer where low cure rates are observed after surgery and radiotherapy. LÄS MER
4. Monte Carlo evaluation of static and dynamic 6FFF treatments - Evaluation of dose distributions calculated with AAA, Acuros XB, and Collapsed Cone (RayStation and DoseCheck)
Master-uppsats,Sammanfattning : There are several benefits to removing the standard flattening filter and using so-called flattening filter free (FFF) treatments in external radiation therapy with photons. The main advantage is the possibility of significantly shortening the treatment time, de spite this FFF is not widely used yet. LÄS MER
5. Uncertainty Estimation in Radiation Dose Prediction U-Net
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. LÄS MER