Essays about: "Histopathology"
Showing result 1 - 5 of 35 essays containing the word Histopathology.
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1. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE
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2. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. READ MORE
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3. Characterization of Carotid Atherosclerotic Stenosis on Photon-Counting Computed Tomography
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Introduction and aim Atherosclerotic stenosis located at the carotid bifurcation accounts for 10% − 20% of all Transient Ischemic Attacks (TIA) and ischemic strokes, which occurs when Atherosclerotic stenosis, or so-called plaque, ruptures. The current method to evaluate carotid atherosclerotic stenosis is to measure the degree of stenosis. READ MORE
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4. Pediatric Brain Tumor Type Classification in MR Images Using Deep Learning
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Brain tumors present the second highest cause of death among pediatric cancers. About 60% are located in the posterior fossa region of the brain; among the most frequent types the ones considered for this project were astrocytomas, medulloblastomas, and ependymomas. READ MORE
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5. Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis
University essay from Lunds universitet/Matematik LTHAbstract : Female breast cancer is a complex and heterogeneous disease that accounts for most of the deaths caused by cancer in women worldwide. To stratify breast cancer patients into treatment groups is a challenging task, and in recent years, analysis of the genes active in the tumour has been used in the decision of cancer therapy. READ MORE