Sökning: "Nuclei Segmentation"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Nuclei Segmentation.

  1. 1. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Fredrik Salomon-Sörensen; [2023]
    Nyckelord :Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Sammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER

  3. 2. Segmentation of cancer epithelium using nuclei morphology with Deep Neural Network

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Osheen Sharma; [2020]
    Nyckelord :Histological; morphology; Convolutional Neural Network; seg- mentation; bladder cancer;

    Sammanfattning : Bladder cancer (BCa) is the fourth most commonly diagnosed cancers in men and the eighth most common in women. It is an abnormal growth of tissues which develops in the bladder lining. Histological analysis of bladder tissue facilities diagnosis as well as it serves as an important tool for research. LÄS MER

  4. 3. Artificial intelligence for segmentation of nuclei from transmitted images

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Norah Klintberg Sakal; [2020]
    Nyckelord :image segmentation; U2OS convolutional neural network; artificial intelligence; human bone osteosarcoma;

    Sammanfattning : State-of-the-art fluorescent imaging research is strictly limited to eight fluorophore labels duringthe study of intercellular interactions among organelles. The number of excited fluorophore colorsis restricted due to overlap in the narrow spectra of visual wavelength. LÄS MER

  5. 4. Clustering-based approach for the localization of Human Brain Nuclei

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Sameer Manickam; [2020]
    Nyckelord :Neuroimaging; fMRI; Human Brain Nuclei; Clustering-based approach; Atlas-based segmentation;

    Sammanfattning : The study of brain nuclei in neuroimaging poses challenges owing to its small size. Many neuroimaging studies have been reported for effectively locating these nuclei and characterizing their functional connectivity with other regions of the brain. LÄS MER

  7. 5. Graph neural networks for spatial gene expression analysis of the developing human heart

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning; Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Xiao Yuan; [2020]
    Nyckelord :single-cell RNA sequencing; in situ sequencing; graph neural networks; deep learning; unsupervised learning;

    Sammanfattning : Single-cell RNA sequencing and in situ sequencing were combined in a recent study of the developing human heart to explore the transcriptional landscape at three developmental stages. However, the method used in the study to create the spatial cellular maps has some limitations. LÄS MER