To access the full text documents, please follow this link: http://hdl.handle.net/2117/105582
| dc.contributor | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
|---|---|
| dc.contributor | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
| dc.contributor.author | Burdick, Jack |
| dc.contributor.author | Marques, Oge |
| dc.contributor.author | Romero-Lopez, Adrià |
| dc.contributor.author | Giró Nieto, Xavier |
| dc.contributor.author | Weinthal, Janet |
| dc.date | 2017 |
| dc.identifier.citation | Burdick, J., Marques, O., Romero-Lopez, A., Giro, X., Weinthal, J. The impact of segmentation on the accuracy and sensitivity of a melanoma classifier based on skin lesion images. A: Society for Imaging Informatics in Medicine Annual Meeting. "SIIM 2017 scientific program : Pittsburgh, PA, June 1- June 3, 2017, David L. Lawrence Convention Center". Pittsburgh, PA: 2017, p. 1-6. |
| dc.identifier.uri | http://hdl.handle.net/2117/105582 |
| dc.language.iso | eng |
| dc.relation | http://upc.cbuc.cat/record=b1492923~S1 |
| dc.rights | info:eu-repo/semantics/openAccess |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
| dc.subject | Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge |
| dc.subject | Diagnostic imaging--Digital techniques |
| dc.subject | Image segmentation |
| dc.subject | Melanoma |
| dc.subject | Skin--Cancer |
| dc.subject | skin lesion |
| dc.subject | segmentation |
| dc.subject | medical image analysis |
| dc.subject | deep learning |
| dc.subject | machine learning |
| dc.subject | medical decision |
| dc.subject | support |
| dc.subject | convolutional neural networks |
| dc.subject | transfer learning |
| dc.subject | Imatges mèdiques |
| dc.subject | Imatges -- Segmentació |
| dc.subject | Diagnòstic per la imatge |
| dc.subject | Melanoma |
| dc.subject | Pell -- Càncer |
| dc.title | The impact of segmentation on the accuracy and sensitivity of a melanoma classifier based on skin lesion images |
| dc.type | info:eu-repo/semantics/publishedVersion |
| dc.type | info:eu-repo/semantics/conferenceObject |
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