Essays about: "DICE model"

Showing result 1 - 5 of 38 essays containing the words DICE model.

  1. 1. Ocean Economy - Implementing damages to marine sectors and ecosystems into the DICE model

    University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Author : Malte Gleim; [2023]
    Keywords : Ocean economy; ecosystem services; DICE model; green economy; climate change;

    Abstract : The oceans are a key element in our society, economy and environmental system.They cover over 70% of the worlds surface and contribute substantially to ecosystemservices such as climate management as well as to economic sectors such as foodproduction and tourism. READ MORE

  3. 2. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Thomas Proudhon; [2023]
    Keywords : Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Abstract : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. READ MORE

  4. 3. Self-learning for 3D segmentation of medical images from single and few-slice annotation

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

    Author : Côme Lassarat; [2023]
    Keywords : Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

    Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE

  5. 4. Deep Learning-Based Bone Segmentation of the Metatarsophalangeal Joint : Using an Automatic and an Interactive Approach

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Hannah Krogh; [2023]
    Keywords : Deep Learning; CNN; U-Net; DeepEdit; Bone Segmentation; CT; MTP Joint;

    Abstract : The first Metatarsophalangeal (MTP) joint is essential for foot biomechanics and weight-bearing activities. Osteoarthritis in this joint can lead to pain, discomfort, and limited mobility. In order to treat this, Episurf Medical is working to produce individualized implants based on 3D segmentations of the joint. READ MORE

  6. 5. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Henrik Träff; [2023]
    Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE