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1
Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images
Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images
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Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images

Senaras, Caglar ; Niazi, Muhammad Khalid Khan ; Sahiner, Berkman ; Pennell, Michael P ; Tozbikian, Gary ; Lozanski, Gerard ; Gurcan, Metin N Kumar-Sinha, Chandan

PloS one, 2018-05, Vol.13 (5), p.e0196846-e0196846 [Periódico revisado por pares]

United States: Public Library of Science

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2
Complex network-based classification of radiographic images for COVID-19 diagnosis
Complex network-based classification of radiographic images for COVID-19 diagnosis
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Complex network-based classification of radiographic images for COVID-19 diagnosis

Liu Weiguang Rafael Delalibera Rodrigues; Yan Jianglong; Zhu Yu-Tao; Everson José de Freitas Pereira; Li Gen; Zheng Qiusheng; Zhao Liang

PLoS ONE San Francisco v. 18, n. 9, p. 1-26, 2023

San Francisco 2023

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3156944 Acervo Digital ) e outros locais(Acessar)

3
Is image-to-image translation the panacea for multimodal image registration? A comparative study
Is image-to-image translation the panacea for multimodal image registration? A comparative study
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Is image-to-image translation the panacea for multimodal image registration? A comparative study

Lu, Jiahao ; Öfverstedt, Johan ; Lindblad, Joakim ; Sladoje, Nataša Pham, Dzung

PloS one, 2022-11, Vol.17 (11), p.e0276196-e0276196 [Periódico revisado por pares]

United States: Public Library of Science

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4
Plant identification based on leaf midrib cross-section images using fractal descriptors
Plant identification based on leaf midrib cross-section images using fractal descriptors
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Plant identification based on leaf midrib cross-section images using fractal descriptors

Núbia Rosa da Silva João Batista Florindo; María Cecilia Gómez; Davi Rodrigo Rossatto; Rosana Marta Kolb; Odemir Martinez Bruno

PLOS One San Francisco : Public Library of Science - PLOS v. 10, n. 6, p. e0130014-1-e0130014-14, June 2015

San Francisco 2015

Localização: IFSC - Inst. Física de São Carlos    (PROD023672 )(Acessar)

5
Quantitative T2 combined with texture analysis of nuclear magnetic resonance images identify different degrees of muscle involvement in three mouse models of muscle dystrophy: mdx, largemyd and mdx/largemyd
Quantitative T2 combined with texture analysis of nuclear magnetic resonance images identify different degrees of muscle involvement in three mouse models of muscle dystrophy: mdx, largemyd and mdx/largemyd
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Quantitative T2 combined with texture analysis of nuclear magnetic resonance images identify different degrees of muscle involvement in three mouse models of muscle dystrophy: mdx, largemyd and mdx/largemyd

Aurea B. Martins-Bach Jackeline Malheiros; Béatrice Matot; Poliana C. M Martins; Camila F Almeida; Waldir Caldeira; Alberto de Freitas Ribeiro; Paulo Loureiro de Sousa; Noura Azzabou; Alberto Tannús; Pierre G Carlier; Mariz Vainzof

PLoS ONE San Francisco : Public Library of Science - PLOS v. 10, n. 2, p. e0117835-1-e0117835-16, Feb. 2015

San Francisco 2015

Localização: IFSC - Inst. Física de São Carlos    (PROD023227 )(Acessar)

6
Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images
Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images
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Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images

Peña, José Manuel ; Torres-Sánchez, Jorge ; de Castro, Ana Isabel ; Kelly, Maggi ; López-Granados, Francisca Suarez, Oscar Deniz

PloS one, 2013-10, Vol.8 (10), p.e77151-e77151 [Periódico revisado por pares]

United States: Public Library of Science

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7
Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks
Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks
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Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

Teramoto, Atsushi ; Tsukamoto, Tetsuya ; Yamada, Ayumi ; Kiriyama, Yuka ; Imaizumi, Kazuyoshi ; Saito, Kuniaki ; Fujita, Hiroshi Qiu, Yuchen

PloS one, 2020-03, Vol.15 (3), p.e0229951-e0229951 [Periódico revisado por pares]

United States: Public Library of Science

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8
Mouse estrous cycle identification tool and images
Mouse estrous cycle identification tool and images
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Mouse estrous cycle identification tool and images

Byers, Shannon L ; Wiles, Michael V ; Dunn, Sadie L ; Taft, Robert A Singh, Shree Ram

PloS one, 2012-04, Vol.7 (4), p.e35538-e35538 [Periódico revisado por pares]

United States: Public Library of Science

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9
Photophysical image analysis: Unsupervised probabilistic thresholding for images from electron-multiplying charge-coupled devices
Photophysical image analysis: Unsupervised probabilistic thresholding for images from electron-multiplying charge-coupled devices
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Photophysical image analysis: Unsupervised probabilistic thresholding for images from electron-multiplying charge-coupled devices

Krog, Jens ; Dvirnas, Albertas ; Ström, Oskar E ; Beech, Jason P ; Tegenfeldt, Jonas O ; Müller, Vilhelm ; Westerlund, Fredrik ; Ambjörnsson, Tobias

PloS one, 2024-04, Vol.19 (4), p.e0300122-e0300122 [Periódico revisado por pares]

United States: Public Library of Science

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10
Classification of breast cancer histology images using Convolutional Neural Networks
Classification of breast cancer histology images using Convolutional Neural Networks
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Classification of breast cancer histology images using Convolutional Neural Networks

Araújo, Teresa ; Aresta, Guilherme ; Castro, Eduardo ; Rouco, José ; Aguiar, Paulo ; Eloy, Catarina ; Polónia, António ; Campilho, Aurélio Sapino, Anna

PloS one, 2017-06, Vol.12 (6), p.e0177544-e0177544 [Periódico revisado por pares]

United States: Public Library of Science

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Deste Autor:

  1. Silva, N
  2. Florindo, J
  3. Tannús, A
  4. Almeida, C
  5. Gen, L

Neste Assunto:

  1. Science & Technology
  2. Science & Technology - Other Topics
  3. Multidisciplinary Sciences
  4. Biology And Life Sciences
  5. Humans

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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