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Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey.
Comput Methods Programs Biomed. 2019 Dec;182:105049. doi: 10.1016/j.cmpb.2019.105049. Epub 2019 Aug 26.
Comput Methods Programs Biomed. 2019.
PMID: 31494412
Review.
A novel approach for skin lesion symmetry classification with a deep learning model.
Talavera-Martínez L, Bibiloni P, Giacaman A, Taberner R, Hernando LJDP, González-Hidalgo M.
Talavera-Martínez L, et al. Among authors: gonzalez hidalgo m.
Comput Biol Med. 2022 Jun;145:105450. doi: 10.1016/j.compbiomed.2022.105450. Epub 2022 Mar 28.
Comput Biol Med. 2022.
PMID: 35364312
Free article.
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Diagnosis support of sickle cell anemia by classifying red blood cell shape in peripheral blood images.
Delgado-Font W, Escobedo-Nicot M, González-Hidalgo M, Herold-Garcia S, Jaume-I-Capó A, Mir A.
Delgado-Font W, et al. Among authors: gonzalez hidalgo m.
Med Biol Eng Comput. 2020 Jun;58(6):1265-1284. doi: 10.1007/s11517-019-02085-9. Epub 2020 Mar 28.
Med Biol Eng Comput. 2020.
PMID: 32222951
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Sickle-cell disease diagnosis support selecting the most appropriate machine learning method: Towards a general and interpretable approach for cell morphology analysis from microscopy images.
Petrović N, Moyà-Alcover G, Jaume-I-Capó A, González-Hidalgo M.
Petrović N, et al. Among authors: gonzalez hidalgo m.
Comput Biol Med. 2020 Nov;126:104027. doi: 10.1016/j.compbiomed.2020.104027. Epub 2020 Oct 10.
Comput Biol Med. 2020.
PMID: 33075715
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Red blood cell cluster separation from digital images for use in sickle cell disease.
González-Hidalgo M, Guerrero-Peña FA, Herold-García S, Jaume-I-Capó A, Marrero-Fernández PD.
González-Hidalgo M, et al.
IEEE J Biomed Health Inform. 2015 Jul;19(4):1514-25. doi: 10.1109/JBHI.2014.2356402. Epub 2014 Sep 8.
IEEE J Biomed Health Inform. 2015.
PMID: 25216490
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