Essays about: "digital pathology data"

Showing result 1 - 5 of 13 essays containing the words digital pathology data.

1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

   University essay from Lunds universitet/Matematik LTH

   Author : Sally Vizins; Hanna Råhnängen; [2024]
   Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

   Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

3. 2. 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

4. 3. Diffusion models for anomaly detection in digital pathology

   University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Author : Ruben Bromée; [2023]
   Keywords : out-of-distribution detection; digital pathology data; latent diffusion model; machine learning; neural network; pathology;

   Abstract : 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

5. 4. 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

6. 5. 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