Advanced search
Showing result 1 - 5 of 25 essays matching the above criteria.
-
1. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE
-
2. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. READ MORE
-
3. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). READ MORE
-
4. Finding the Sweet Spot
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Complex carbohydrates, or glycans, are involved in cancer progression and could thereby serve as diagnostic markers as well as therapeutic targets. However, new research is required to determine which glycan motifs are universal signatures of tumor environments. READ MORE
-
5. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : 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. READ MORE