Sökning: "Image Morphology"

Visar resultat 21 - 25 av 53 uppsatser innehållade orden Image Morphology.

  1. 21. Reflection Seismic Survey for Characterising Historical Tailings and Deep Targeting at the Blötberget Mine, Central Sweden

    Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

    Författare :EMMANUEL ALOFE; [2021]
    Nyckelord :reflection seismic; exploration; tailings; sustainability; circularity; tomography; reflektion seismisk; prospektering; gruvavfall; hållbarhet; cirkularitet; tomografi;

    Sammanfattning : Iron has been an essential element to human development and iron-oxide deposits are known to host minerals that are labelled as critical raw materials (CRMs), especially in the EU. Therefore, ensuring a sustainable supply of CRMs require access to both primary and secondary sources of their host deposits such as iron oxides. LÄS MER

  3. 22. Finite Element Head ModelPersonalization by Mesh Morphing

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

    Författare :Yann Levin; [2021]
    Nyckelord :Biomechanics; Finite element; Head models; Image Registration; Mesh morphing; Personalization.;

    Sammanfattning : Finite Element (FE) head models are very convenient tools forthe study of Traumatic Brain Injuries (TBIs) but lack significantanatomical details for the investigation of morphology or age-dependantinjury mechanisms. In this context, the use of deformable registrationalgorithms for the generation of personalized head models is veryconsistent for the development of improved protection systems likehelmets. LÄS MER

  4. 23. Deep Learning Models for Profiling of Kinase Inhibitors

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Linnea Eriksson; [2020]
    Nyckelord :deep learning; machine learning; AI; artificial intelligence; kinase inhibitor; profiling; classification;

    Sammanfattning : With the advent of fluorescence microscopy and image analysis, quantitative information from images can be extracted and changes in cell morphology can be studied. Microscopy-based morphological profiling assays with multiplexed fluorescent dyes, like Cell Painting, can be used for this purpose. LÄS MER

  5. 24. Morphology Formation from Ternary Mixtures upon Evaporation : a Square Cell Model Approach

    Master-uppsats, Karlstads universitet/Institutionen för ingenjörsvetenskap och fysik (from 2013)

    Författare :Simon Kronberg; [2019]
    Nyckelord :Lattice model; Morphology; Ternary mixtures; Monte Carlo method;

    Sammanfattning : We present a novel modelling approach for the morphology formation from ternary mixtures upon evaporation, which takes into consideration two different length scales of the interaction, and further allows for these length scales to be altered. A quantitative study of the interfacial energy hints towards the existence of a mesoscopic regime - further research is needed to verify the validity of this claim however. LÄS MER

  7. 25. Generative Adversarial Networks to enhance decision support in digital pathology

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Alessia De Biase; [2019]
    Nyckelord :Generative Adversarial Networks; Digital Pathology; CycleGAN; Style Transfer;

    Sammanfattning : Histopathological evaluation and Gleason grading on Hematoxylin and Eosin(H&E) stained specimens is the clinical standard in grading prostate cancer. Recently, deep learning models have been trained to assist pathologists in detecting prostate cancer. LÄS MER