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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 [Revista revisada por pares]

United States: Public Library of Science

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2
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 [Revista revisada por pares]

United States: Public Library of Science

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3
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 [Revista revisada por pares]

United States: Public Library of Science

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4
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 [Revista revisada por pares]

United States: Public Library of Science

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5
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 [Revista revisada por pares]

United States: Public Library of Science

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6
GelJ--a tool for analyzing DNA fingerprint gel images
GelJ--a tool for analyzing DNA fingerprint gel images
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GelJ--a tool for analyzing DNA fingerprint gel images

Heras, Jónathan ; Domínguez, César ; Mata, Eloy ; Pascual, Vico ; Lozano, Carmen ; Torres, Carmen ; Zarazaga, Myriam

BMC bioinformatics, 2015-08, Vol.16 (1), p.270-270, Article 270 [Revista revisada por pares]

England: BioMed Central Ltd

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7
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 Chen, Kun

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

United States: Public Library of Science

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8
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 [Revista revisada por pares]

United States: Public Library of Science

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9
Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI
Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI
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Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI

KUHL, Christiane K ; SCHRADING, Simone ; STROBEL, Kevin ; SCHILD, Hans H ; HILGERS, Ralf-Dieter ; BIELING, Heribert B

Journal of clinical oncology, 2014-08, Vol.32 (22), p.2304-2310 [Revista revisada por pares]

Alexandria, VA: American Society of Clinical Oncology

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10
Cover Image
Cover Image
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Cover Image

Bogatic, Damjana ; Bryant, Robert V. ; Lynch, Kate D. ; Costello, Samuel P.

Alimentary pharmacology & therapeutics, 2023-01, Vol.57 (1), p.i-i [Revista revisada por pares]

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