Sökning: "Image segmentation"

Visar resultat 31 - 35 av 431 uppsatser innehållade orden Image segmentation.

  1. 31. 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. 32. Generating Synthetic Training Data with Stable Diffusion

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Rasmus Rynell; Oscar Melin; [2023]
    Nyckelord :AI; ML; Artificial Intelligence; Machine Learning; Stable Diffusion; ControlNet; Image classification; Image synthesis; Generative models; Generating images; Generating training data;

    Sammanfattning : The usage of image classification in various industries has grown significantly in recentyears. There are however challenges concerning the data used to train such models. Inmany cases the data used in training is often difficult and expensive to obtain. Furthermore,dealing with image data may come with additional problems such as privacy concerns. LÄS MER

  4. 33. Structure from Motion with a Neural Network

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Jiarong Gong; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER

  5. 34. Deep Learning Based Detection, Quantification, and Subdivision of White Matter Hyperintensities in Brain MRI

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Inna Fryckstedt; [2023]
    Nyckelord :white matter hyperintensities; white matter lesions; deep learning; machine learning; DL; ML; MRI; iNPH;

    Sammanfattning : White matter hyperintensities (WMH) are commonly found as bright regions in brain MRI images in older individuals. They are associated with various neurological and vascular diseases, such as stroke, dementia, and cardiovascular disorders. LÄS MER

  7. 35. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Albert Sund Aillet; [2023]
    Nyckelord :Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

    Sammanfattning : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. LÄS MER