Sökning: "Melanoma classification deep learning"

Visar resultat 6 - 7 av 7 uppsatser innehållade orden Melanoma classification deep learning.

1. 6. Evaluating a deep convolutional neural network for classification of skin cancer

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

   Författare :Joakim Boman; Alexander Volminger; [2018]
   Nyckelord :;

   Sammanfattning : Computer-aided diagnosis (CAD) has become an important part of themedical field. Skin cancer is a common and deadly disease that a CADsystem could potentially detect. It is clearly visible on the skin andtherefore only images of skin lesions could be used in order to pro-vide a diagnosis. LÄS MER

3. 7. To be, or not to be Melanoma : Convolutional neural networks in skin lesion classification

   Master-uppsats, KTH/Medicinsk teknik

   Författare :Andreas Nylund; [2016]
   Nyckelord :Clinical Decision Support; Convolutional Neural Networks; Deep Learning; Dermoscopy; Machine Learning; Melanoma;

   Sammanfattning : Machine learning methods provide an opportunity to improve the classification of skin lesions and the early diagnosis of melanoma by providing decision support for general practitioners. So far most studies have been looking at the creation of features that best indicate melanoma. LÄS MER