Essays about: "Medical Image Generation"

Showing result 1 - 5 of 15 essays containing the words Medical Image Generation.

1. 1. Robustness Analysis of Perfusion Parameter Calculations

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Alicia Palmér; [2024]
   Keywords : Perfusion; Medical image analysis; Dynamic Contrast Enhanced Magnetic Resonance Imaging; Tofts model; Functional imaging; Optimization; T1 map; Perfusion; Medicinsk bildanalys; Dynamisk kontrastförstärkt magnetisk resonanstomografibildtagning; Tofts-modell; Funktionell bildbehandling; Optimering; T1 karta;

   Abstract : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. READ MORE

3. 2. Brain morphometry in Parkinson’s disease

   University essay from

   Author : Lönkvist Olivia; [2023-03-02]
   Keywords : Medical physics; Parkinson’s disease; Computational anatomy; Quantitative image analysis;

   Abstract : Abstract Purpose The purpose of this brain morphometry study was to examine the volumes of different regions of the brain by research participants with Parkinson’s disease. Method To carry out the study, MR (magnetic resonance) images from 956 research participants from the Parkinson’s Progression Markers Initiative (PPMI) were used. READ MORE

4. 3. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Atena Nazem; [2023]
   Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

   Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE

5. 4. Is eXplainable AI suitable as a hypotheses generating tool for medical research? Comparing basic pathology annotation with heat maps to find out

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Albert Adlersson; [2023]
   Keywords : black box; eXplainable AI XAI ; Convolutional Neural Network CNN ; Mi- crosatellite Instability MSI ; colon cancer; gastric cancer; hypotheses generating; hypotheses generating tool; medical research;

   Abstract : Hypothesis testing has long been a formal and standardized process. Hypothesis generation, on the other hand, remains largely informal. This thesis assess whether eXplainable AI (XAI) can aid in the standardization of hypothesis generation through its utilization as a hypothesis generating tool for medical research. READ MORE

6. 5. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuqi Zheng; [2023]
   Keywords : Medical Image Generation; Brain Aging; Diffeomorphic Registration; AlzheimerŠs Disease; Medicinsk bildgenerering; Åldrande av hjärnan; DiffeomorĄsk registrering; Alzheimers sjukdom;

   Abstract : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. READ MORE