Sökning: "Tissue classification"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Tissue classification.

  1. 1. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :William Tirmén; [2023]
    Nyckelord :Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

    Sammanfattning : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. LÄS MER

  3. 2. Kvinnors erfarenhet av att leva med endometrios : en litteraturöversikt

    Kandidat-uppsats, Sophiahemmet Högskola

    Författare :Anna Lindahl; Emma Lundell; [2023]
    Nyckelord :Endometriosis; Experience; Pain; Quality of life; Suffering; Endometrios; Erfarenhet; Lidande; Livskvalitet; Smärta;

    Sammanfattning : Bakgrund  Endometrios är en kronisk sjukdom där endometrieceller fäster på vävnad utanför livmodern. Av alla världens kvinnor i fertil ålder uppskattas var tionde kvinna leva med sjukdomen. Endometrios genererar smärtsamma och påfrestande besvär hos kvinnorna vilket påverkar livskvaliteten på deras dagliga liv. LÄS MER

  4. 3. 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

  5. 4. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Alice Fracchia; [2023]
    Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

    Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

  7. 5. How molecular diagnostics based on gene expressions can improve diagnostics in Sarcoma

    Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Emma Friberg; Alma Lennartsson; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Sarcoma, a rare and heterogeneous cancer type, present significant diagnostic challenges due to its numerous subtypes. Molecular diagnostics and machine learning models have emerged as promising tools to enhance sarcoma diagnosis. LÄS MER