Mostra el registre d'ítem simple

dc.contributorMyers, Timothy
dc.contributorRibas Ripoll, Vicent
dc.contributor.authorMorales Muñoz, Maria de Araceli
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2016-01-29T12:23:43Z
dc.date.issued2016-01
dc.identifier.urihttp://hdl.handle.net/2117/82273
dc.description.abstractNowadays, only 10 - 15% of people diagnosed with lung cancer survive more than 5 years after the diagnostic. The main cause is the delay in detecting it. One way of early detecting nodules is to use a system over chest x-rays that can classify them. A project is being carried out in order to develop this system, but this work is a previous and necessary step: it aims to separate anteroposterior and lateral images in order to make the classifier to perform better. To do so, we have studied four deep learning methods: logistic regression, multi-layer perceptron (MLP), restricted Boltzmann machines (RBM) and convolutional networks (CNN). We applied all four methods to a random sample of our dataset and registered their accuracy, specificity, sensitivity and AUC (area under curve). With these, we observed that MLP is the one with the best performance along with CNN, but the latter requires more runtime. However, if one would like to use the simplest method, logistic regression also performs well enough.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMathematical statistics
dc.subject.otherComputer vision
dc.subject.otherDeep learning
dc.subject.otherLung cancer
dc.titleImage classification for early detection of lung cancer
dc.typeBachelor thesis
dc.subject.lemacEstadística matemàtica
dc.subject.amsClassificació AMS::62 Statistics
dc.identifier.slugFME-1277
dc.rights.accessRestricted access - author's decision
dc.date.lift10000-01-01
dc.date.updated2016-01-23T06:39:00Z
dc.audience.educationlevelGrau
dc.audience.mediatorUniversitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística
dc.audience.degreeGRAU EN MATEMÀTIQUES (Pla 2009)


Fitxers d'aquest items

Imatge en miniatura

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple