Sökning: "Malignant lesion"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Malignant lesion.

  1. 1. Determining Important Features for Melanoma Classification Through Feature Selection

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Vilmer Jonsson; Tor Strimbold; [2023]
    Nyckelord :;

    Sammanfattning : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. LÄS MER

  3. 2. Can biomarkers identify oral leukoplakia at high risk of malignant transformation? : A systematic review

    Master-uppsats, Örebro universitet/Institutionen för medicinska vetenskaper

    Författare :Ronnie Hasan; [2023]
    Nyckelord :Precision medicine; oral neoplasms; brush biopsies; biomarkers; oral leukoplakia.;

    Sammanfattning : Introduction Oral squamous cell carcinomas (OSCCs) frequently develop from oral potentially malignantdisorders (OPMDs). Oral leukoplakia (OL) is a white lesion in the oral mucosa and the mostprevalent OPMD. Malignant transformation rates for OL to OSCC has recently been reportedto 9.8%. LÄS MER

  4. 3. Matched Reassignment of the Ultrasound Data of Breast Lesions

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Robert Vujasic; [2022]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The goal of this thesis was to, from several randomly selected patients with diagnosed malignant and benign tumors, record optimal lambdas and respective Renyi entropies for each lambda, run a basic statistical analysis of the results and see if there is any significant difference between lambdas/Renyi entropies of malignant and benign lesions.\\ The results showed no significant difference. LÄS MER

  5. 4. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Maria del Pilar Aguilera Manzanera; [2022]
    Nyckelord :Melanoma; Skin cancer; Dermatoscopy; Image classification; Machine learning; Artificial intelligence; Convolutional neural networks; Dermatology; Squamous cell carcinoma; Basal cell carcinoma; Actinic keratosis; Computer-aided Diagnostics; Digital dermatology; Technology and Engineering;

    Sammanfattning : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. LÄS MER

  7. 5. Evaluating automatic colour equalization to preprocess dermoscopic images for classification using a CNN

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Niklas Vatn; Julia Byström; [2021]
    Nyckelord :;

    Sammanfattning : Skin cancer is one of the most prevalent types of cancer and diagnosing of skin lesions are mostly done by visual inspection by a doctor. Lately, computer- aided diagnosis (CAD) has gained popularity and previous studies have with great results utilized a convolutional neural network (CNN) to classify dermoscopic images of different benign and malignant skin lesions. LÄS MER