Essays about: "U-Net"

Showing result 1 - 5 of 25 essays containing the word U-Net.

  1. 1. A deep learning approach for predicting outcomes of triple-negative breast cancer

    University essay from Lunds universitet/Matematik LTH

    Author : Arvid Larsson; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : Breast cancer is the most common cancer in women. Triple-negative breast cancer affects 10-20% of breast cancer patients and is associated with an especially bad prognosis. Today, tissue slides are assessed manually by a clinician to set a prognosis. However, the prediction of outcomes could possibly be improved using machine learning. READ MORE

  2. 2. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Omkar Bhutra; [2021]
    Keywords : Convolutional Neural Networks; 4D flow MRI; 3D U-Net; Cardiovascularimage segmentation; Uncertainty estimation; Bayesian 3D U-Net;

    Abstract : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. READ MORE

  3. 3. Deep Learning for Point Detection in Images

    University essay from Linköpings universitet/Datorseende

    Author : Björn Runow; [2020]
    Keywords : Deep learning; Point detection; U-Net; UNet ; HRNet; FCN; Weighted Hausdorff distance; EU-pallet; Computer vision;

    Abstract : The main result of this thesis is a deep learning model named BearNet, which can be trained to detect an arbitrary amount of objects as a set of points. The model is trained using the Weighted Hausdorff distance as loss function. BearNet has been applied and tested on two problems from the industry. READ MORE

  4. 4. Semi-Supervised Deep Learning using Consistency-Based Methods for Segmentation of Medical Images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Axel Rönnberg; [2020]
    Keywords : ;

    Abstract : In radiation therapy, a form of cancer treatment, accurately locating the anatomical structures is required in order to limit the impact on healthy cells. The automatic task of delineating these structures and organs is called segmentation, where each pixel in an image is classified and assigned a label. READ MORE

  5. 5. AI-based Age Estimation from Mammograms

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap; Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Dilukshi Charitha Subashini Dissanayake Dissanayake Lekamlage; Fabia Afzal; [2020]
    Keywords : Machine Learning; Mammograms; Image Segmentation; Deep Learning; Feature Extraction; Regression Analysis; Age Estimation;

    Abstract : Background: Age estimation has attracted attention because of its various clinical and medical applications. There are many studies on human age estimation from biomedical images such as X-ray images, MRI, facial images, dental images etc. However, there is no research done on mammograms for age estimation. READ MORE