Dr. Victor Garcia Profile

Dr. Victor Garcia

at U.S. Food and Drug Administration

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 3 April 2024 Paper

Assessment of machine learning algorithms for TILs scoring using whole slide images: comparison with pathologists

Arian Arab, Victor Garcia, Seyed Mostafa Kahaki, Nicholas Petrick, Brandon Gallas, Weijie Chen

Proceedings Volume 12933, 1293315 (2024) https://doi.org/10.1117/12.3008518

KEYWORDS: Calibration, Tumors, Image segmentation, Algorithm development, Machine learning, Detection and tracking algorithms, Cancer detection, Breast cancer

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Proceedings Article | 7 April 2023 Poster + Paper

Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images

Arian Arab, Victor Garcia, Shuyue Guan, Brandon Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen

Proceedings Volume 12471, 124711H (2023) https://doi.org/10.1117/12.2653989

KEYWORDS: Image segmentation, Breast cancer, Deep learning, Pathology, Color normalization

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Proceedings Article | 3 April 2023 Presentation + Paper

Analysis of a pilot study collecting pathologist annotations for validating machine learning algorithms

Katherine Elfer, Victor Garcia, Brandon Gallas

Proceedings Volume 12467, 124670Q (2023) https://doi.org/10.1117/12.2654388

KEYWORDS: Image registration, Microscopes, Glasses, Reticles, Time metrology, Tissues, Spatial resolution, Motion analysis, Cameras, Toxic industrial chemicals

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SPIE Journal Paper | 27 July 2022 Open Access

Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms

Katherine Elfer, Sarah Dudgeon, Victor Garcia, Kim Blenman, Evangelos Hytopoulos, Si Wen, Xiaoxian Li, Amy Ly, Bruce Werness, Manasi Sheth, Mohamed Amgad, Rajarsi Gupta, Joel Saltz, Matthew Hanna, Anna Ehinger, Dieter Peeters, Roberto Salgado, Brandon Gallas

JMI, Vol. 9, Issue 04, 047501, (July 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.4.047501

KEYWORDS: Pathology, Tumors, Biological research, Machine learning, Tissues, Breast cancer, Statistical analysis, Evolutionary algorithms, Microscopes, Artificial intelligence

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