Lazic, Ivan, Agullo, Ferran, Ausso, Susanna, Alves, Bruno, Barelle, Caroline, Berral, Josep Ll., Bizopoulos, Paschalis, Bunduc, Oana, Chouvarda, Ioanna, Dominguez, Didier, Filos, Dimitrios, Gutierrez-Torre, Alberto, Hesso, Iman, Jakovljević, Nikša, Kayyali, Reem, Kogut-Czarkowska, Magdalena, Kosvyra, Alexandra, Lalas, Antonios, Lavdaniti, Maria, Loncar-Turukalo, Tatjana, Martinez-Alabart, Sara, Michas, Nassos, Nabhani-Gebara, Shereen, Raptopoulos, Andreas, Roussakis, Yiannis, Stalika, Evangelia, Symvoulidis, Chrysostomos, Tsave, Olga, Votis, Konstantinos and Charalambous, Andreas (2022) The holistic perspective of the INCISIVE project : artificial intelligence in screening mammography. Applied Sciences, 12(17), p. 8755. ISSN (online) 2076-3417

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Official URL:	https://doi.org/10.3390/app12178755
Item Type:	Article
Additional Information:	This work was supported by the European Union’s Horizon 2020 research and innovation program under grant agreement no 952179, and the Ministry of Economy, Industry, and Competitiveness of Spain under contracts PID2019-107255GB and 2017-SGR-1414.
Research Area:	Research Areas > Cancer studies
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Life Sciences, Pharmacy and Chemistry
Date Deposited:	02 Sep 2022 14:16
Last Modified:	02 Sep 2022 14:16
DOI:	https://doi.org/10.3390/app12178755
URI:	https://eprints.kingston.ac.uk/id/eprint/52208

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