Classification of x-ray images for detection of childhood pneumonia using pre-trained neural networks

Autor: Rodrigo Melo, Jose Vigno Moura Sousa, Francisco das Chagas Fontenele Marques Junior, D. B. S. Santos, Nator Junior C. Costa

Publikováno v: Revista Brasileira de Computação Aplicada. 12:132-141

This paper describes a comparison between three pre-trained neural networks for the classification of chest X-ray images: Xception, Inception V3, and NasNetLarge. Networks were implemented using learning transfer; The database used was the chest x-ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0074181039d3e03b3a7cabb271933056
https://doi.org/10.5335/rbca.v12i3.10343

Comparação entre transformadas uma análise qualitativa do comportamento de vários sinais biomédicos

Autor: Jose Vigno Moura Sousa, Pedro Mateus Cunha Pimentel, D. B. S. Santos, Vilson R. Almeida, Felipe Miranda de Jesus Castro, Arata Andrade Saraiva

Publikováno v: Research, Society and Development, Vol 9, Iss 10 (2020)
Research, Society and Development; Vol. 9 No. 10; e3179108657
Research, Society and Development; Vol. 9 Núm. 10; e3179108657
Research, Society and Development; v. 9 n. 10; e3179108657
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI

This paper aims to compare the behave of different signals when applied to different compression techniques, to test and find the best compression techniques to each different signal, also proving that different signals behave differently in distinct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc71ed2cffa9fbaea377f831cf616651
https://rsdjournal.org/index.php/rsd/article/view/8657

Classification of Images of Childhood Pneumonia using Convolutional Neural Networks

Autor: Luciano Lopes de Sousa, António Valente, Arata Andrade Saraiva, Nuno M. F. Ferreira, D. B. S. Santos, Salviano Soares, Nator Junior C. Costa, Jose Vigno Moura Sousa

Publikováno v: BIOIMAGING

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f70519bde470abe04e9af31a1cc7c77b
https://doi.org/10.5220/0007404301120119

Classification of Pneumonia images on mobile devices with Quantized Neural Network

Autor: Jose Vigno Moura Sousa, Pedro Mateus Cunha Pimentel, Vilson R. Almeida, Luciano Lopes de Sousa, D. B. S. Santos, Arata Andrade Saraiva

Publikováno v: Research, Society and Development; Vol. 9 No. 10; e889108382
Research, Society and Development; Vol. 9 Núm. 10; e889108382
Research, Society and Development; v. 9 n. 10; e889108382
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development, Vol 9, Iss 10 (2020)

This paper presents an approach for the classification of child chest X-ray images into two classes: pneumonia and normal. We employ Convolutional Neural Networks, from pre-trained networks together with a quantization process, using the platform Ten

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fd6909f95f04cd7a10ca63f5c2ead7a
https://doi.org/10.33448/rsd-v9i10.8382