Essays about: "whole slide imaging"
Found 5 essays containing the words whole slide imaging.
-
1. 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
-
2. 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
-
3. 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
-
4. Deep Learning for Whole Slide Image Cytology : A Human-in-the-Loop Approach
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With cancer being one of the leading causes of death globally, and with oral cancers being among the most common types of cancer, it is of interest to conduct large-scale oral cancer screening among the general population. Deep Learning can be used to make this possible despite the medical expertise required for early detection of oral cancers. READ MORE
-
5. Classification of brain tumors in weakly annotated histopathology images with deep learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Brain and nervous system tumors were responsible for around 250,000 deaths in 2020 worldwide. Correctly identifying different tumors is very important, because treatment options largely depend on the diagnosis. READ MORE