A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images

Author:

Xu Yongzhao,Souza Luís F.F.,Silva Iágson C.L.,Marques Adriell G.,Silva Francisco H.S.,Nunes Virgínia X.,Han Tao,Jia ChuanyuORCID,de Albuquerque Victor Hugo C.ORCID,Filho Pedro P. Rebouças

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference48 articles.

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2. Foro de las Sociedades Respiratorias Internacionales. El impacto gobal de la Enfermedad Respiratoria – Segunda edición. México, Asociación Latinoamericana de Tórax, 2017;Darcy D. Marciniuk Cochair Dean E. Schraufnagel,2017

3. Assessment of the pulmonary structure-function relationship and clinical outcomes measures: quantitative volumetric CT of the lung;Hoffman;Academic Radiol.,1997

4. Assessment of methacholine-induced airway constriction by ultrafast high-resolution computed tomography;Amirav;J. Appl. Physiol.,1993

5. Clinical advances in the diagnosis and therapy of the interstitial lung diseases;King;Am. J. Respir. Crit. Care Med.,2005

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