Ms. Paula Andrea Toro-Castaño Profile

Paula Andrea Toro-Castaño

at Univ. Nacional de Colombia Sede Bogotá

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Publications (5)

Proceedings Article | 4 April 2022 Poster

Quantitative histomorphometric features of tumor nuclei are prognostic of disease-free survival in papillary thyroid carcinoma

Shayan Monabbati, Paula Toro, Kaustav Bera, Pingfu Fu, Sylvia Lou, Anant Madabhushi

Proceedings Volume 12039, 120391B (2022) https://doi.org/10.1117/12.2613789

KEYWORDS: Tissues, Shape analysis, Image analysis, Hazard analysis, Cancer

Proceedings Article | 3 January 2020 Paper

Histopathology color image processing in prostate carcinoma

Julián David Vargas-López, Nicolás Toro-García, Juan Bernardo Gómez-Mendoza, Paula Andrea Toro-Castaño, Rafael Pava-Marín, Álex Enrique Pava-Ripoll

Proceedings Volume 11330, 1133006 (2020) https://doi.org/10.1117/12.2542359

KEYWORDS: Image processing, Prostate, Tissues, Image acquisition, Biopsy, Diagnostics

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Proceedings Article | 21 December 2018 Paper

A method to detect glands in histological gastric cancer images

Sunny Alfonso, Germán Corredor, Ricardo Moncayo, Cristian Barrera, Angel Sanchez, Paula Toro, Eduardo Romero

Proceedings Volume 10975, 109750X (2018) https://doi.org/10.1117/12.2511680

KEYWORDS: Cancer, Feature extraction, Image segmentation, Tissues, Pathology, Tumors, Prostate cancer, Monte Carlo methods, Binary data, Deconvolution

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Proceedings Article | 21 December 2018 Paper

A visualization, navigation, and annotation system for dermatopathology training

Paula Toro, Germán Corredor, Eduardo Romero , Viviana Arias

Proceedings Volume 10975, 109750Z (2018) https://doi.org/10.1117/12.2511638

KEYWORDS: Navigation systems, Pathology, Visualization, Skin, Dermatology, Diagnostics, Scanners, Human-machine interfaces, Microscopy

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Proceedings Article | 17 November 2017 Paper

Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes

Paula Toro, Germán Corredor, Xiangxue Wang, Viviana Arias, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero

Proceedings Volume 10572, 1057202 (2017) https://doi.org/10.1117/12.2286717

KEYWORDS: Tumors, Pathology, Lung cancer, Oncology, Solids, Cancer, Human-machine interfaces, Software, Image quality, Statistical analysis

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