Sökning: "Bjoern Menze"

Hittade 2 avhandlingar innehållade orden Bjoern Menze.

  1. 1. Advanced Machine Learning Methods for Oncological Image Analysis

    Författare :Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

    Sammanfattning : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. LÄS MER

  3. 2. Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging

    Författare :Håkan Wieslander; Carolina Wählby; Ida-Maria Sintorn; Ola Spjuth; Andreas Hellander; Bjoern Menze; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deep Learning; Microscopy; Image Analysis;

    Sammanfattning : Microscopy imaging is a powerful technique when studying biology at a cellular and sub-cellular level. When combined with digital image analysis it creates an invaluable tool for investigating complex biological processes and phenomena. LÄS MER