Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jocelyn De Goër De Herve"'
Autor:
Sk Imran Hossain, Sudipta Singha Roy, Jocelyn De Goër De Herve, Robert E. Mercer, Engelbert Mephu Nguifo
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109249- (2023)
Occlusion of skin lesions in dermoscopic images due to hair affects the performance of computer-assisted lesion analysis algorithms. Lesion analysis can benefit from digital hair removal or realistic hair simulation techniques. To assist in that proc
Externí odkaz:
https://doaj.org/article/46bdae9281154f449aa32f06f14388f4
Autor:
Sk Imran Hossain, Jocelyn de Goër de Herve, Md Shahriar Hassan, Delphine Martineau, Evelina Petrosyan, Violaine Corbin, Jean Beytout, Isabelle Lebert, Jonas Durand, Irene Carravieri, Annick Brun-Jacob, Pascale Frey-Klett, Elisabeth Baux, Céline Cazorla, Carole Eldin, Yves Hansmann, Solene Patrat-Delon, Thierry Prazuck, Alice Raffetin, Pierre Tattevin, Gwenaël Vourc'h, Olivier Lesens, Engelbert Mephu Nguifo
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, 2022, 215, pp.106624. ⟨10.1016/j.cmpb.2022.106624⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2022, 215, pp.106624. ⟨10.1016/j.cmpb.2022.106624⟩
Computer Methods and Programs in Biomedicine, 2022, 215, pp.106624. ⟨10.1016/j.cmpb.2022.106624⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2022, 215, pp.106624. ⟨10.1016/j.cmpb.2022.106624⟩
International audience; Background and objective: Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convolutional neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::479234159163804b0163d839d97c7433
https://doi.org/10.1016/j.cmpb.2022.106624
https://doi.org/10.1016/j.cmpb.2022.106624
Autor:
Elena Arsevska, Sarah Valentin, Julien Rabatel, Jocelyn de Goër de Hervé, Sylvain Falala, Renaud Lancelot, Mathieu Roche
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0199960 (2018)
Since 2013, the French Animal Health Epidemic Intelligence System (in French: Veille Sanitaire Internationale, VSI) has been monitoring signals of the emergence of new and exotic animal infectious diseases worldwide. Once detected, the VSI team verif
Externí odkaz:
https://doaj.org/article/9c5e9331823942958ce2152bcf0a0754