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An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
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An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

Suarez-Arnedo, Alejandra ; Torres Figueroa, Felipe ; Clavijo, Camila ; Arbeláez, Pablo ; Cruz, Juan C ; Muñoz-Camargo, Carolina Chirico, Giuseppe

PloS one, 2020-07, Vol.15 (7), p.e0232565-e0232565 [Periódico revisado por pares]

United States: Public Library of Science

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Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers
Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers
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Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers

Ma, Lei ; Fu, Tengyu ; Blaschke, Thomas ; Li, Manchun ; Tiede, Dirk ; Zhou, Zhenjin ; Ma, Xiaoxue ; Chen, Deliang

ISPRS international journal of geo-information, 2017-02, Vol.6 (2), p.51-51 [Periódico revisado por pares]

Basel: MDPI AG

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3
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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4
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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5
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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6
Stepwise Evolution Analysis of the Region-Merging Segmentation for Scale Parameterization
Stepwise Evolution Analysis of the Region-Merging Segmentation for Scale Parameterization
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Stepwise Evolution Analysis of the Region-Merging Segmentation for Scale Parameterization

Hu, Zhongwen ; Zhang, Qian ; Zou, Qin ; Li, Qingquan ; Wu, Guofeng

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-07, Vol.11 (7), p.2461-2472 [Periódico revisado por pares]

Piscataway: IEEE

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7
A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells
A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells
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A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells

Garcia-Pardo, M. Elena ; Simpson, Jeremy C ; O'Sullivan, Niamh C

BMC bioinformatics, 2021-09, Vol.22 (1), p.1-427, Article 427 [Periódico revisado por pares]

London: BioMed Central Ltd

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8
BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning
BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning
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BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning

Sheng, Haoyue ; Ma, Linrui ; Samson, Jean-François ; Liu, Dianbo

BMC medical informatics and decision making, 2024-05, Vol.24 (1), p.126-126, Article 126 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Double-Variance Measures: A Potential Approach to Parameter Optimization of Remote Sensing Image Segmentation
Double-Variance Measures: A Potential Approach to Parameter Optimization of Remote Sensing Image Segmentation
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Double-Variance Measures: A Potential Approach to Parameter Optimization of Remote Sensing Image Segmentation

Wang, Yongji ; Tian, Zhihui ; Qi, Qingwen ; Wang, Jun

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.2314-2326 [Periódico revisado por pares]

Piscataway: IEEE

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10
A Survey on Medical Image Segmentation Based on Deep Learning Techniques
A Survey on Medical Image Segmentation Based on Deep Learning Techniques
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A Survey on Medical Image Segmentation Based on Deep Learning Techniques

Moorthy, Jayashree ; Gandhi, Usha Devi

Big data and cognitive computing, 2022-10, Vol.6 (4), p.117 [Periódico revisado por pares]

Basel: MDPI AG

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