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Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning

Cullell i Dalmau, Marta; Noé, Sergio; Otero Viñas, Marta; Meic, Ivan; Manzo, Carlo (Frontiers Media, 2021)

Deep learning architectures for the classification of images have shown outstanding results in a variety of disciplines, including dermatology. The expectations generated by deep learning for, e.g., image-based diagnosis ...
Cytoplasmic accumulation of NCoR in malignant melanoma: Consequences of altered gene repression and prognostic significance

Gallardo, Fernando; Padrón, Andreina; Garcia Carbonell, Ricard; Rius Rafael, Cristina; González Perez, Abel; Arumí Uria, Montserrat; Iglesias, Mar; Nonell, Lara; Bellosillo, Beatriz; Segura, Sonia; Pujol, Ramon Maria; López Bigas, Núria; Bertrán Comulada, Joan; Bigas, Anna; Espinosa, Lluís (2015)

Invasive malignant melanoma (MM) is an aggressive tumor with no curative therapy available in advanced stages. Nuclear corepressor (NCoR) is an essential regulator of gene transcription, and its function has been found ...
Optimisation of HIV-1 enveloped Virus Like Particles as a personalised vaccine platform for the delivery of cancer neoantigens

Barajas Molina, Ana (Universitat de Vic - Universitat Central de Catalunya, 11-10-2023)

Cancer immunotherapies (CIT) stand as novel and promising strategies for the treatment of cancer. Their aim is to enhance the individual’s own immune system to recognise and eliminate cancer cells reducing side effects, ...

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