Travelled to:4 × Germany
Collaborated with:A.C.d.Paiva P.M.d.S.Carvalho L.B.Nascimento A.P.Nunes A.C.M.d.Oliveira V.R.d.S.Jr. A.d.A.Neto L.d.O.Martins E.C.d.Silva M.Gattass C.A.d.Silva S.M.B.Netto G.B.Junior R.A.Nunes
Talks about:use (6) imag (5) svm (5) classif (4) nodul (4) mass (4) lung (4) simpson (3) divers (3) index (3)
Person: Aristófanes Corrêa Silva
DBLP: Silva:Arist=oacute=fanes_Corr=ecirc=a
Contributed to:
2012200920072005Wrote 7 papers:
- MLDM-2012-CarvalhoPS #classification #image #using
- Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM (PMdSC, ACdP, ACS), pp. 482–494.
- MLDM-2012-NascimentoPS #classification #image #using
- Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM (LBN, ACdP, ACS), pp. 454–466.
- MLDM-2009-NunesSP #detection #image #using
- Detection of Masses in Mammographic Images Using Simpson’s Diversity Index in Circular Regions and SVM (APN, ACS, ACdP), pp. 540–553.
- MLDM-2009-SilvaSNPJN #classification #geometry #image #metric #using
- Lung Nodules Classification in CT Images Using Simpson’s Index, Geometrical Measures and One-Class SVM (CAdS, ACS, SMBN, ACdP, GBJ, RAN), pp. 810–822.
- MLDM-2007-MartinsSSPG #classification #image #using
- Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine (LdOM, ECdS, ACS, ACdP, MG), pp. 784–794.
- MLDM-2005-SilvaJNP #geometry #learning #metric #using
- Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures (ACS, VRdSJ, AdAN, ACdP), pp. 295–304.
- MLDM-2005-SilvaPO #comparison
- Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule (ACS, ACdP, ACMdO), pp. 285–294.