Essays about: "Whole Slide Image"
Showing result 1 - 5 of 11 essays containing the words Whole Slide Image.
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1. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. 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. 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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4. 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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5. 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