Essays about: "Tissue classification"

Showing result 1 - 5 of 47 essays containing the words Tissue classification.

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

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

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

    Abstract : 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. 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. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Alice Fracchia; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Emma Friberg; Alma Lennartsson; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  6. 5. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Erika Ax; Elin Djerf; [2023]
    Keywords : mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Abstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE