Browsing by Author "Malvehy Guilera, Josep"

Now showing items 1-8 of 8

    • BCN20000: dermoscopic lesions in the wild 

      Hernández Pérez, Carlos; Combalia Escudero, Marc; Podlipnik, Sebastian; Codella, Noel C. F.; Rotemberg, Veronica; Halpern, Allan C.; Reiter, Ofer; Carrera Álvarez, Cristina; Barreiro Capurro, Alicia; Helba, Brian; Puig Sardá, Susana; Vilaplana Besler, Verónica; Malvehy Guilera, Josep (Nature, 2024-06-17)
      Article
      Open Access
      Advancements in dermatological artificial intelligence research require high-quality and comprehensive datasets that mirror real-world clinical scenarios. We introduce a collection of 18,946 dermoscopic images spanning ...

    • Comparative analysis and interpretability of survival models for melanoma prognosis 

      Hernández Pérez, Carlos; Podlipnik, Sebastian; Ficapal Vila, Joan; Puig Sardá, Susana; Malvehy Guilera, Josep; Vilaplana Besler, Verónica (Elsevier, 2025-05)
      Article
      Restricted access - publisher's policy
      The increasing incidence of cutaneous melanoma highlights the critical need for precision medicine to optimize treatment strategies and improve patient outcomes. This study evaluated and compared the performance and ...

    • Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours 

      Hernández Pérez, Carlos; Combalia Escudero, Marc; Puig Sardá, Susana; Malvehy Guilera, Josep; Vilaplana Besler, Verónica (Springer, 2022-09-30)
      Part of book or chapter of book
      Open Access
      Sentinel lymph node status is a crucial prognosis factor for melanomas; nonetheless, the invasive surgery required to obtain it always puts the patient at risk. In this study, we develop a Deep Learning-based approach to ...

    • Imagen multiespectral polarizada para el diagnóstico del cáncer de piel 

      Rey Barroso, Laura; Burgos Fernández, Francisco Javier; Díaz Douton, Fernando; Peña Gutiérrez, Sara; Royo Royo, Santiago; Ares Rodríguez, Miguel; Puig, Susana; Malvehy Guilera, Josep; Pellacani, Giovanni; Vilaseca Ricart, Meritxell (Universidad de Jaén, 2019)
      Conference lecture
      Restricted access - publisher's policy

    • Polarized multispectral imaging for the diagnosis of skin cancer 

      Rey Barroso, Laura; Burgos Fernández, Francisco Javier; Royo Royo, Santiago; Puig, Susana; Malvehy Guilera, Josep; Pellacani, Giovanni; Delpueyo, Xana; Peña Gutiérrez, Sara; Díaz Douton, Fernando; Vilaseca Ricart, Meritxell (Society for Imaging Science and Technology (IS&T), 2019)
      Conference lecture
      Restricted access - publisher's policy
      The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, a biopsy, is slow and costly. Non-invasive optical techniques such as polarization and multispectral ...

    • Study of skin cancer lesions through multispectral and 3D techniques 

      Rey Barroso, Laura; Burgos Fernández, Francisco Javier; Ares Rodríguez, Miguel; Royo Royo, Santiago; Delpueyo, Xana; Puig, Susana; Malvehy Guilera, Josep; Pellacani, Giovanni; Vilaseca Ricart, Meritxell (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2019)
      Conference report
      Restricted access - publisher's policy
      The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, biopsy followed by histological examination, is a slow and costly procedure for the healthcare system. ...

    • Training deep learning algorithms with multispectral dataset of skin lesions for the improvement of skin cancer diagnosis 

      Rey Barroso, Laura; Vilaseca Ricart, Meritxell; Royo Royo, Santiago; Puig Sardá, Susana; Malvehy Guilera, Josep; Pellacani, Giovanni; Lihacova, Ilze; Bondarenko, Andrey; Burgos Fernández, Francisco Javier (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2023)
      Conference report
      Open Access
      Dermatologists are starting to make use of Computer-Aided Diagnosis based on deep learning algorithms, which can provide them with an objective judgement during evaluation of equivocal lesions. DL algorithms can be trained ...

    • Visible and extended near-infrared multispectral imaging for skin cancer diagnosis 

      Rey Barroso, Laura; Burgos Fernández, Francisco Javier; Delpueyo, Xana; Ares Rodríguez, Miguel; Royo Royo, Santiago; Malvehy Guilera, Josep; Puig, Susana; Vilaseca Ricart, Meritxell (2019-01)
      Part of book or chapter of book
      Open Access
      With the goal of diagnosing skin cancer in an early and noninvasive way, an extended near infrared multispectral imaging system based on an InGaAs sensor with sensitivity from 995 nm to 1613 nm was built to evaluate deeper ...