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Features based on the percolation theory for quantification of non-Hodgkin lymphomas.

Autor: Roberto GF; Department of Computer Science and Statistics (DCCE), São Paulo State University (UNESP), R. Cristóvão Colombo, 2265, 15054-000, São José do Rio Preto, SP, Brazil. Electronic address: guilherme@sjrp.unesp.br., Neves LA; Department of Computer Science and Statistics (DCCE), São Paulo State University (UNESP), R. Cristóvão Colombo, 2265, 15054-000, São José do Rio Preto, SP, Brazil., Nascimento MZ; Faculty of Computation (FACOM) - Federal University of Uberlândia (UFU), Av. João Neves de Ávila 2121, Bl.B, 38400-902, Uberlândia, MG, Brazil., Tosta TAA; Center of Mathematics, Computing and Cognition, Federal University of ABC (UFABC), Av. dos Estados, 5001, 09210-580, Santo André, SP, Brazil., Longo LC; Department of Computer Science and Statistics (DCCE), São Paulo State University (UNESP), R. Cristóvão Colombo, 2265, 15054-000, São José do Rio Preto, SP, Brazil., Martins AS; Federal Institute of Triangulo Mineiro (IFTM), R. Belarmino Vilela Junqueira S/N, 38305-200, Ituiutaba, MG, Brazil., Faria PR; Department of Histology and Morphology, Institute of Biomedical Science, Federal University of Uberlândia (UFU), Av. Amazonas, S/N, 38405-320, Uberlândia, MG, Brazil.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2017 Dec 01; Vol. 91, pp. 135-147. Date of Electronic Publication: 2017 Oct 16.