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Found 5 essays matching the above criteria.

1. 1. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Christoforos Spyretos; [2023]
   Keywords : medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

   Abstract : 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

3. 2. Deep Learning Based Focus lnterpolation for Whole Slide Images

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Davis Nicmanis; [2022]
   Keywords : ;

   Abstract : 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

4. 3. Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images

   University essay from Lunds universitet/Matematik LTH

   Author : Adam Belfrage; Alexander Wik; [2022]
   Keywords : HER2-scoring; image analysis; interpretability; digital pathology; computer aided pathology; whole slide imaging; ASCO-guidelines; singular value decomposition; shape models; Bayesian classification; Biology and Life Sciences; Medicine and Health Sciences; Technology and Engineering; Mathematics and Statistics;

   Abstract : 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

5. 4. Deep Learning for Whole Slide Image Cytology : A Human-in-the-Loop Approach

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Christopher Rydell; [2021]
   Keywords : machine learning; deep learning; cytology; whole slide imaging; deep neural networks; convolutional neural networks; certainty calibration; calibration metrics; active learning; deep active learning; human-in-the-loop;

   Abstract : 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

6. 5. Classification of brain tumors in weakly annotated histopathology images with deep learning

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Dávid Hrabovszki; [2021]
   Keywords : medical imaging; deep learning; glioblastoma; tcga; brain tumor; weakly supervised; histopathology; digital pathology; histology;

   Abstract : 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