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Transfer learning for medical image classification: a literature review
Transfer learning for medical image classification: a literature review
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Transfer learning for medical image classification: a literature review

Kim, Hee E ; Cosa-Linan, Alejandro ; Santhanam, Nandhini ; Jannesari, Mahboubeh ; Maros, Mate E ; Ganslandt, Thomas

BMC medical imaging, 2022-04, Vol.22 (1), p.69-69, Article 69 [Periódico revisado por pares]

England: BioMed Central Ltd

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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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3
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
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Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

Xu, Yonghao ; Du, Bo ; Zhang, Liangpei ; Cerra, Daniele ; Pato, Miguel ; Carmona, Emiliano ; Prasad, Saurabh ; Yokoya, Naoto ; Hansch, Ronny ; Le Saux, Bertrand

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-06, Vol.12 (6), p.1709-1724 [Periódico revisado por pares]

Piscataway: IEEE

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4
Identification of suitable fundus images using automated quality assessment methods
Identification of suitable fundus images using automated quality assessment methods
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Identification of suitable fundus images using automated quality assessment methods

Şevik, Uğur ; Köse, Cemal ; Berber, Tolga ; Erdöl, Hidayet

Journal of biomedical optics, 2014-04, Vol.19 (4), p.046006-046006 [Periódico revisado por pares]

United States: Society of Photo-Optical Instrumentation Engineers

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5
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images
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Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Fassler, Danielle J ; Abousamra, Shahira ; Gupta, Rajarsi ; Chen, Chao ; Zhao, Maozheng ; Paredes, David ; Batool, Syeda Areeha ; Knudsen, Beatrice S ; Escobar-Hoyos, Luisa ; Shroyer, Kenneth R ; Samaras, Dimitris ; Kurc, Tahsin ; Saltz, Joel

Diagnostic pathology, 2020-07, Vol.15 (1), p.100-100, Article 100 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
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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7
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest
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Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

Yokoya, Naoto ; Ghamisi, Pedram ; Xia, Junshi ; Sukhanov, Sergey ; Heremans, Roel ; Tankoyeu, Ivan ; Bechtel, Benjamin ; Le Saux, Bertrand ; Moser, Gabriele ; Tuia, Devis

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-05, Vol.11 (5), p.1363-1377 [Periódico revisado por pares]

Piscataway: IEEE

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8
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
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Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning

Jones, Thouis R ; Carpenter, Anne E ; Lamprecht, Michael R ; Moffat, Jason ; Silver, Serena J ; Grenier, Jennifer K ; Castoreno, Adam B ; Eggert, Ulrike S ; Root, David E ; Golland, Polina ; Sabatini, David M

Proceedings of the National Academy of Sciences - PNAS, 2009-02, Vol.106 (6), p.1826-1831 [Periódico revisado por pares]

United States: National Academy of Sciences

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9
Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
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Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis

Sioma, Andrzej

Materials, 2020-03, Vol.13 (5), p.1250 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
A cell-level quality control workflow for high-throughput image analysis
A cell-level quality control workflow for high-throughput image analysis
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A cell-level quality control workflow for high-throughput image analysis

Qiu, Minhua ; Zhou, Bin ; Lo, Frederick ; Cook, Steven ; Chyba, Jason ; Quackenbush, Doug ; Matzen, Jason ; Li, Zhizhong ; Mak, Puiying Annie ; Chen, Kaisheng ; Zhou, Yingyao

BMC bioinformatics, 2020-07, Vol.21 (1), p.1-280, Article 280 [Periódico revisado por pares]

London: BioMed Central Ltd

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