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Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization
Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization
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Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization

Singh, Prerna ; Mukundan, Ramakrishnan ; De Ryke, Rex

Journal of digital imaging, 2020-02, Vol.33 (1), p.273-285 [Periódico revisado por pares]

Cham: Springer International Publishing

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12
Survey on Image Segmentation Techniques
Survey on Image Segmentation Techniques
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Survey on Image Segmentation Techniques

Zaitoun, Nida M. ; Aqel, Musbah J.

Procedia computer science, 2015, Vol.65, p.797-806 [Periódico revisado por pares]

Elsevier B.V

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13
CellProfiler 4: improvements in speed, utility and usability
CellProfiler 4: improvements in speed, utility and usability
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CellProfiler 4: improvements in speed, utility and usability

Stirling, David R ; Swain-Bowden, Madison J ; Lucas, Alice M ; Carpenter, Anne E ; Cimini, Beth A ; Goodman, Allen

BMC bioinformatics, 2021-09, Vol.22 (1), p.1-433, Article 433 [Periódico revisado por pares]

London: BioMed Central Ltd

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14
A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as A Proxy
A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as A Proxy
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A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as A Proxy

Galles, P. ; Takats, K. ; Hernandez-Cabronero, M. ; Berga, D. ; Pega, L. ; Riordan-Chen, L. ; Garcia, C. ; Becker, G. ; Garriga, A. ; Bukva, A. ; Serra-Sagrista, J. ; Vilaseca, D. ; Marin, J.

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-12 [Periódico revisado por pares]

Piscataway: IEEE

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15
Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
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Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning

Wang, Ying Da ; Armstrong, Ryan T. ; Mostaghimi, Peyman

Water resources research, 2020-01, Vol.56 (1), p.n/a [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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16
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation
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Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation

Jeong, Jiwoong J. ; Tariq, Amara ; Adejumo, Tobiloba ; Trivedi, Hari ; Gichoya, Judy W. ; Banerjee, Imon

Journal of digital imaging, 2022-04, Vol.35 (2), p.137-152 [Periódico revisado por pares]

Cham: Springer International Publishing

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17
Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification
Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification
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Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification

Wang, Jie ; Zheng, Yalan ; Wang, Min ; Shen, Qian ; Huang, Jiru

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.283-299 [Periódico revisado por pares]

Piscataway: IEEE

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18
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Bai, Wenjia ; Sinclair, Matthew ; Tarroni, Giacomo ; Oktay, Ozan ; Rajchl, Martin ; Vaillant, Ghislain ; Lee, Aaron M ; Aung, Nay ; Lukaschuk, Elena ; Sanghvi, Mihir M ; Zemrak, Filip ; Fung, Kenneth ; Paiva, Jose Miguel ; Carapella, Valentina ; Kim, Young Jin ; Suzuki, Hideaki ; Kainz, Bernhard ; Matthews, Paul M ; Petersen, Steffen E ; Piechnik, Stefan K ; Neubauer, Stefan ; Glocker, Ben ; Rueckert, Daniel

Journal of cardiovascular magnetic resonance, 2018-09, Vol.20 (1), p.65-65, Article 65 [Periódico revisado por pares]

England: BioMed Central Ltd

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19
RootPainter: deep learning segmentation of biological images with corrective annotation
RootPainter: deep learning segmentation of biological images with corrective annotation
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RootPainter: deep learning segmentation of biological images with corrective annotation

Smith, Abraham George ; Han, Eusun ; Petersen, Jens ; Olsen, Niels Alvin Faircloth ; Giese, Christian ; Athmann, Miriam ; Dresbøll, Dorte Bodin ; Thorup‐Kristensen, Kristian

The New phytologist, 2022-10, Vol.236 (2), p.774-791 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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20
A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification
A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification
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A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification

Lv, Xianwei ; Ming, Dongping ; Lu, Tingting ; Zhou, Keqi ; Wang, Min ; Bao, Hanqing

Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.1946 [Periódico revisado por pares]

Basel: MDPI AG

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