Sökning: "Whole Slide Image"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Whole Slide Image.

  1. 1. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Laureanne Antoinette Josephine Brechje Geraldine van Dijk; Tara Helena Irene de Groot; [2023]
    Nyckelord :Lymphocytes; Image Processing; Computer-Assisted; Pathology; Deep Learning; Artificial Intelligence; Breast Neoplasms;

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

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

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Davis Nicmanis; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Adam Belfrage; Alexander Wik; [2022]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  7. 5. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Elsa Jonsson; [2022]
    Nyckelord :AI; machine learning; digital pathology data; binary tumour classification;

    Sammanfattning : 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. LÄS MER