Sökning: "prostate cancer classification"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden prostate cancer classification.
1. Comparing Weak and Strong Annotation Strategies for Multiple Instance Learning in Digital Pathology
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Prostate cancer is the second most diagnosed cancer worldwide and its diagnosis is done through visual inspection of biopsy tissue by a pathologist, who assigns a score used by doctors to decide on the treatment. However, the scoring system, the Gleason score, is affected by a high inter and intra-observer variability, lack of standardization, and overestimation. LÄS MER
2. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer
Master-uppsats, Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Introduction: Standard dosimetry methods for radionuclide therapies re- quire imaging at multiple time points post injection. An alternative method has been presented in the literature that uses previously acquired pharma- cokinetic data to create so-called dose factors. LÄS MER
3. Developing an AI based approach to histological tissue type classification
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Histological tissue type classification is a profound research topic. However, most of the research in this area is confined to either to differentiate cancerous tissue from non-cancerous tissue or to classify connective, epithelial, muscleand nervous tissue rather than classifying an organ specific tissue from another. LÄS MER
4. Deep Learning for Prostate Cancer Risk Prediction Through Image Analysis of Cells
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Prostate cancer is one of the most common types of cancer occurring in men. Several types of research have been done using deep learning methods for the classification/prediction of cancer grades. In this thesis, the results of prostate cancer risk prediction, based only on the images of cells from the prostate tissues, have been analyzed. LÄS MER
5. Natural Language Processing for Patient Data in Clinical Decision Support Systems
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : In Sweden, prostate cancer is the most common type of cancer among men. The care need within prostate cancer will get higher as the population increases and gets older. With this in mind, there is a need to streamline the care pathway. One way to do this is with a clinical decision support system. LÄS MER