Sökning: "Melanoma classification"

Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Melanoma classification.

  1. 1. Genetic characterization of malignant melanoma and breast cancer

    Författare :Göran B Jönsson; Bröstcancer-genetik; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; oncology; Cytology; microarray; inherited breast cancer; Melanoma; linkage analysis; cancer; Cytologi; cancerology; onkologi;

    Sammanfattning : Malignant melanoma and breast cancer are common malignant diseases characterized by considerable heterogeneity with respect to genetics, histopathology, biology and clinical course. In breast cancer, two major susceptibility genes have been identified, BRCA1 and BRCA2, which account for a significant proportion of high-risk breast cancer families. LÄS MER

  3. 2. Automatic Melanoma Diagnosis in Dermoscopic Imaging Base on Deep Learning System

    Författare :Yali Nie; Jan Lundgren; Mattias O'Nils; Claes Lundström; Mittuniversitetet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Melanoma classification; computer vision; Deep learning; CNN;

    Sammanfattning : Melanoma is one of the deadliest forms of cancer. Unfortunately, its incidence rates have been increasing all over the world. One of the techniques used by dermatologists to diagnose melanomas is an imaging modality called dermoscopy. The skin lesion is inspected using a magnification device and a light source. LÄS MER

  4. 3. Cutaneous malignant melanoma : body site, sun exposure, genetic factors and prognosis

    Författare :Daniela Gordon; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :Melanoma;

    Sammanfattning : Background: The interplay between tumor site, ultraviolet radiation (UVR) exposure, genetic factors and various epidemiological parameters of cutaneous melanoma is complex. In this thesis, we aimed to investigate the impact of detailed body site of the primary tumor beyond the conventional and strictly anatomic division of the head-neck, trunk, upper- and lower extremities, focusing on body site division according to UVR exposure patterns in relation to risk, outcome and other factors. LÄS MER

  5. 4. Deep Learning Approaches towards Skin Lesion Classification with Dermoscopic Images

    Författare :Yali Nie; Jan Lundgren; Mattias O'Nils; Mittuniversitetet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Melanoma is a skin cancer that tends to be deadly. The incidence of melanoma is currently at the highest level ever recorded in Europe, North America and Oceania. The survival rate can be significantly increased if skin lesions are identified in dermoscopic images at an early stage. LÄS MER

  7. 5. From cytologic features to serum markers: advancing prognostication of uveal melanoma

    Författare :Christina Herrspiegel; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. As surveys show, almost all patients diagnosed with UM want prognostic information. LÄS MER