Zobrazeno 1 - 2
of 2
pro vyhledávání: '"José G.M. Esgario"'
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 1, Pp 38-47 (2022)
In recent years, deep learning methods have been introduced for segmentation and classification of leaf lesions caused by pests and pathogens. Among the commonly used approaches, convolutional neural networks have provided results with high accuracy.
Externí odkaz:
https://doaj.org/article/bab31167c23d494b92127ff12c0b8697
Autor:
Andre G.C. Pacheco, Gustavo R. Lima, Amanda S. Salomão, Breno Krohling, Igor P. Biral, Gabriel G. de Angelo, Fábio C.R. Alves Jr, José G.M. Esgario, Alana C. Simora, Pedro B.C. Castro, Felipe B. Rodrigues, Patricia H.L. Frasson, Renato A. Krohling, Helder Knidel, Maria C.S. Santos, Rachel B. do Espírito Santo, Telma L.S.G. Macedo, Tania R.P. Canuto, Luíz F.S. de Barros
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106221- (2020)
Over the past few years, different Computer-Aided Diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive availabl
Externí odkaz:
https://doaj.org/article/b650cf09a829479f91fabb51a7a048eb