Blar i NOFIMA vitenarkiv på forfatter "La Salvia, Marco"
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Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application
La Salvia, Marco; Torti, Emanuele; Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Martinez-Vega, Beatriz; Callico, Gustavo M.; Leporati, Francesco (Peer reviewed; Journal article, 2022)In recent years, researchers designed several artificial intelligence solutions for healthcare applications, which usually evolved into functional solutions for clinical practice. Furthermore, deep learning (DL) methods ... -
Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis
Martinez-Vega, Beatriz; Tkachenko, Mariia; Matkabi, Marianne; Ortega, Samuel; Fabelo, Himar; Balea-Fernandez, Francisco; La Salvia, Marco; Torti, Emanuele; Leporati, Francesco; Callico, Gustavo M.; Chalopin, Claire (Peer reviewed; Journal article, 2022)Currently, one of the most common causes of death worldwide is cancer. The development of innovative methods to support the early and accurate detection of cancers is required to increase the recovery rate of patients. ... -
Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images
La Salvia, Marco; Torti, Emanuele; Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Balea-Fernandez, Francisco; Martinez-Vega, Beatriz; Castaño, Irene; Almeida, Pablo; Carretero, Gregorio; Hernandez, Javier A.; Callico, Gustavo M.; Leporati, Francesco (Peer reviewed; Journal article, 2022)Cancer originates from the uncontrolled growth of healthy cells into a mass. Chromophores, such as hemoglobin and melanin, characterize skin spectral properties, allowing the classification of lesions into different ...