Sökning: "automated treatment planning"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden automated treatment planning.

1. 1. Scenario dose prediction for robust automated treatment planning in radiation therapy

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Oskar Eriksson; [2021]
   Nyckelord :Radiation therapy; automated treatment planning; scenario dose prediction; robust optimization; dose mimicking; Strålterapi; automatisk behandlingsplanering; scenariodosprediktion; robust optimering; dosåterskapande;

   Sammanfattning : Cancer is a group of diseases that are characterized by abnormal cell growth and is considered a leading cause of death globally. There are a number of different cancer treatment modalities, one of which is radiation therapy. LÄS MER

3. 2. Deep-learning based prediction model for dose distributions in lung cancer patients

   Master-uppsats, Stockholms universitet/Fysikum

   Författare :Terese Hellström; [2021]
   Nyckelord :;

   Sammanfattning : Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. LÄS MER

4. 3. Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning

   Master-uppsats, KTH/Matematisk statistik

   Författare :Ivar Eriksson; [2020]
   Nyckelord :Radiation therapy; automated planning; machine learning; autoencoder; distance optimisation; sparse pseudo-input Gaussian process; kernel density estimation; dose mimicking; dose–volume histogram; Strålbehandling; automatiserad dosplanering; maskininlärning; autoencoder; distansoptimering; glesa Gaussiska processer; sannolikhets-fördelnings-estimering; dosrekonstruktion; dos–volymhistogram;

   Sammanfattning : Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. LÄS MER

5. 4. Automation of robust Pareto front-based radiotherapy treatment planning for prostate cancer patients

   Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

   Författare :Niklas Eliasson; [2019]
   Nyckelord :Medicine and Health Sciences;

   Sammanfattning : Purpose/objective The main objective was to create a software that automates the process of creating treatment plans used for Pareto front-based dose planning for prostate cancer patients. A second objective/purpose was to add a robustness test to this program to evaluate the effect of prostate movements on the treatment plans. LÄS MER

7. 5. Machine learning and augmented data for automated treatment planning in complex external beam radiation therapy

   Master-uppsats, Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskap

   Författare :Michael Lempart; [2019]
   Nyckelord :Machine Learning; Deep Learning; Data Augmentation; Treatment Planning; External Beam Radiation Therapy;

   Sammanfattning : External beam radiation therapy is currently one of the most commonly used modalities for treating cancer. With the rise of new technologies and increasing computational power, machine learning, deep learning and artificial intelligence applications used for classification and regression problems have begun to find their way into the field of radiation oncology. LÄS MER