Sökning: "Tumor Classification"

Visar resultat 1 - 5 av 68 avhandlingar innehållade orden Tumor Classification.

  1. 1. Molecular Classification of Bladder Cancer

    Författare :Gottfrid Sjödahl; Bröstcancer-genetik; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Bladder cancer; Subtype; Classification;

    Sammanfattning : Decisions in the treatment of bladder cancer today are based on clinical and pathological risk variables such as tumor stage and tumor grade. The importance of these conventional risk variables is well documented since more than 10 years, and they are used routinely in the clinics. LÄS MER

  2. 2. Modeling glioblastoma heterogeneity to decipher its biology

    Författare :Yuan Xie; Lene Uhrbom; Massimo Squatrito; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICAL AND HEALTH SCIENCES; Glioblastoma multiforme; biobank; GBM cells; cell of origin; LGR5; OPCs;

    Sammanfattning : Glioblastoma multiforme (GBM) is the most common and lethal form of primary brain tumor that mainly affects adults. GBM displays remarkable intra- and inter-tumoral heterogeneity and contains a subpopulation of cells named glioma stem cells that is believed to be responsible for tumor maintenance, progression and recurrence. LÄS MER

  3. 3. 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 :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; 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

  4. 4. Studies on the Roles of PDGFRA and EGFR in the Classification and Identification of Therapeutic Targets for Human Gliomas

    Författare :Dongfeng Chen; Neurokirurgi; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Gliomas; classification; EGFR; PDGFRA; FGF2; surface expression; cell proliferation;

    Sammanfattning : Glioma is the most common type of primary tumor in the adult central nervous system (CNS). However, the current classification of gliomas is highly subjective and even inaccurate in some cases, which leads to clinical confusion and hinders the development of targeted therapies. LÄS MER

  5. 5. Genetic Analyses of Tumor Progression in Colorectal Cancer

    Författare :Kristina Lagerstedt; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Nyckelord :colorectal cancer; tumor progression; microarray; DNA aberration; gene expression; microRNA; structural variation;

    Sammanfattning : Colorectal tumors are responsible for more than 600 000 deaths per year worldwide and thereby constitute the second most common cause of cancer related mortality. Early detection is related to improved prognosis and identification of genetic biomarkers would meliorate available diagnostic tools. LÄS MER