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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

Lowe, Amy ; Harrison, Nicola ; French, Andrew P

Plant methods, 2017-10, Vol.13 (1), p.80-80, Article 80 [Periódico revisado por pares]

England: BioMed Central

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2
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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3
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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4
Parallel multiple instance learning for extremely large histopathology image analysis
Parallel multiple instance learning for extremely large histopathology image analysis
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Parallel multiple instance learning for extremely large histopathology image analysis

Xu, Yan ; Li, Yeshu ; Shen, Zhengyang ; Wu, Ziwei ; Gao, Teng ; Fan, Yubo ; Lai, Maode ; Chang, Eric I-Chao

BMC bioinformatics, 2017-08, Vol.18 (1), p.360-360, Article 360 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
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Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN

Li, Ran ; Zeng, Xiangrui ; Sigmund, Stephanie E ; Lin, Ruogu ; Zhou, Bo ; Liu, Chang ; Wang, Kaiwen ; Jiang, Rui ; Freyberg, Zachary ; Lv, Hairong ; Xu, Min

BMC bioinformatics, 2019-03, Vol.20 (Suppl 3), p.132-132, Article 132 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
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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7
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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8
Sensitivity of CNN image analysis to multifaceted measurements of neurite growth
Sensitivity of CNN image analysis to multifaceted measurements of neurite growth
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Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Vecchi, Joseph T ; Mullan, Sean ; Lopez, Josue A ; Rhomberg, Madeline ; Yamamoto, Annamarie ; Hallam, Annabelle ; Lee, Amy ; Sonka, Milan ; Hansen, Marlan R

BMC bioinformatics, 2023-08, Vol.24 (1), p.1-320, Article 320 [Periódico revisado por pares]

London: BioMed Central Ltd

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9
18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
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18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy

Wiltgen, Tun ; Fleischmann, Daniel F. ; Kaiser, Lena ; Holzgreve, Adrien ; Corradini, Stefanie ; Landry, Guillaume ; Ingrisch, Michael ; Popp, Ilinca ; Grosu, Anca L. ; Unterrainer, Marcus ; Bartenstein, Peter ; Parodi, Katia ; Belka, Claus ; Albert, Nathalie ; Niyazi, Maximilian ; Riboldi, Marco

Radiation oncology (London, England), 2022-12, Vol.17 (1), p.1-11, Article 198 [Periódico revisado por pares]

London: BioMed Central

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10
Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling
Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling
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Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling

Jiménez-Brenes, F M ; López-Granados, F ; de Castro, A I ; Torres-Sánchez, J ; Serrano, N ; Peña, J M

Plant methods, 2017-07, Vol.13 (1), p.55-55, Article 55 [Periódico revisado por pares]

England: BioMed Central Ltd

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