Sökning: "Digital pathology"

Visar resultat 1 - 5 av 128 avhandlingar innehållade orden Digital pathology.

  1. 1. Designing a digital pathology workstation for routine practice

    Författare :Jesper Molin; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Human-computer interaction; Navigation; Digital pathology;

    Sammanfattning : The role of the pathology lab is important in the future of cancer care. In orderto further personalize the care for cancer patients, more precise review of tumorspecimens is needed in order to guide clinicians between different treatmentstrategies. LÄS MER

  3. 2. Deep Learning for Digital Pathology in Limited Data Scenarios

    Författare :Karin Stacke; Jonas Unger; Gabriel Eilertsen; Claes Lundström; Henning Müller; Linköpings universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Medical imaging; Digital pathology; Radiology; Machine learning; Deep learning.;

    Sammanfattning : The impressive technical advances seen for machine learning algorithms in combination with the digitalization of medical images in the radiology and pathology departments show great promise in introducing powerful image analysis tools for image diagnostics. In particular, deep learning, a subfield within machine learning, has shown great success, advancing fields such as image classification and detection. LÄS MER

  4. 3. Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use

    Författare :Jesper Molin; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Digital pathology; Visualization; Human-computer interaction;

    Sammanfattning : Digital pathology is a novel technology currently being implemented world wide. Thisthesis summarizes four years of HCI and visualization research and provides an overallunderstanding of designing workstation software for pathologists. LÄS MER

  5. 4. Generalisation and reliability of deep learning for digital pathology in a clinical setting

    Författare :Milda Pocevičiūtė; Claes Lundström; Stina Garvin; Gabriel Eilertsen; Nasir Rajpoot; Linköpings universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Deep learning; Digital pathology; Generalisation; Uncertainty estimation; Anomaly detection; Data distribution shift;

    Sammanfattning : Deep learning (DL) is a subfield of artificial intelligence (AI) focused on developing algorithms that learn from data to perform some tasks that can aid humans in their daily life or work assignments. Research demonstrates the potential of DL in supporting pathologists with routine tasks like detecting breast cancer metastases and grading prostate cancer. LÄS MER

  7. 5. Medin amyloid - a matter close to the heart : Studies on medin amyloid formation and involvement in aortic pathology

    Författare :Annika Larsson; Per Westermark; Sari Kiuru-Enari; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; AA amyloidosis; aging; amyloid; aneurysm; arterial media; dissection; elastin; medin amyloid; lactadherin; thoracic aorta; Pathology; Patologi;

    Sammanfattning : Amyloidoses are a group of protein misfolding diseases characterized by deposits of insoluble fibrillar protein aggregates. Medin amyloid, which is the focus of this thesis, appears in the media of the thoracic aorta in nearly all individuals over 50 years. LÄS MER