@mastersthesis {xDomenech19, title = {Clasificaci{\'o}n de im{\'a}genes dermatosc{\'o}picas utilizando Redes Neuronales Convolucionales e informaci{\'o}n de metadatos}, year = {2019}, abstract = {

Convolutional Neural Networks (CNNs) is a technology that is evolving very quickly. The CNNs are used in image recognition to improve computer vision systems in image classification, object detection and segmentation tasks. For all the mentioned features we can apply the CNN in the field of medicine to automate the techniques of obtaining diagnosis and facilitate the tasks of doctors.

The purpose of this project is to classify images of different skin lesions in order to detect possible diseases such as skin cancer (melanoma) through CNNs and metadata information. The images used in this project have been provided by the Dermatology Department of the Clinical Hospital of Barcelona

}, author = {Teresa Domenech}, editor = {Ver{\'o}nica Vilaplana} }