Sökning: "malignant melanoma"
Visar resultat 6 - 10 av 29 uppsatser innehållade orden malignant melanoma.
6. Evaluating automatic colour equalization to preprocess dermoscopic images for classification using a CNN
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
7. Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Malignant melanoma is an aggressive type of skin cancer. Gene mutations can make the disease progress faster, but specialised treatment exists. Today, gene mutations are detected with DNA-analysis which is costly and time-consuming. LÄS MER
8. Automated Histopathological Evaluation of Tumor Images using CNNs
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Histopathology is the procedure used in medicine to optically examine microscope-images of tissue samples (biopsies) in order to study the manifestation of disease. It is used, for example, to diagnose the spread and type of cancer tumors, which have implications on the chosen treatment. LÄS MER
9. Malignant Melanoma Classification with Deep Learning
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. LÄS MER
10. En jämförelse mellan två sjukdomsgrupper med PET/CT som undersökningsmetod : Beräkning av den totala effektiva dosen från PET- och CT-undersökning
Kandidat-uppsats, Högskolan i Jönköping/HHJ, Avd. för naturvetenskap och biomedicinSammanfattning : Bakgrund: Lungcancer och malignt melanom är exempel på två sjukdomar som undersöks med dual-modaliteten positron emission tomography/computed tomography (PET/CT). Vid undersökning med PET/CT erhåller patienten både en stråldos från Flourine-18 (18F) märkt med 2-[18F] fluoro-2-deoxy-D-glucose (18FDG) och från CT-modaliteten. LÄS MER