Essays about: "Digital Pathology"
Showing result 6 - 10 of 22 essays containing the words Digital Pathology.
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6. Diffusion models for anomaly detection in digital pathology
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Challenges within the field of pathology leads to a high workload for pathologists. Machine learning has the ability to assist pathologists in their daily work and has shown good performance in a research setting. READ MORE
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7. Comparing Weak and Strong Annotation Strategies for Multiple Instance Learning in Digital Pathology
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : 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. READ MORE
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8. Deep Learning Based Focus lnterpolation for Whole Slide Images
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Whole slide imaging is a crucial component of digital pathology, which emulates conventional microscopy by scanning the entire microscope slide. It results in a large digital image that can be examined by a cytopathologist or used in further computer-assisted image analysis. READ MORE
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9. Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images
University essay from Lunds universitet/Matematik LTHAbstract : Computer aided pathology is becoming more and more of a requirement within pathology due to increased demand of individualised treatments and personalised medicine. Because of the advance of digital pathology in recent years, where a high resolution camera acquire images of microscope slides, pathologists can now assess tissue samples in digital images. READ MORE
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10. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. READ MORE