Dr. Dan Wang Profile

Dr. Dan Wang

at Sunbrook Research Institute

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Author

Publications (5)

Proceedings Article | 7 April 2023 Presentation + Paper

Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging

Wenchao Han, Alison Cheung, Vishwesh Ramanathan, Dan Wang, Kela Liu, Martin Yaffe, Anne Martel

Proceedings Volume 12471, 1247106 (2023) https://doi.org/10.1117/12.2654943

KEYWORDS: Breast cancer, Image segmentation, Cancer, Deep learning, Tissues, Multiplexing, Education and training, Image classification, Image registration, Proteins

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Proceedings Article | 7 April 2023 Poster + Paper

Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes

Alison Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne Martel, Arun Seth, Martin Yaffe

Proceedings Volume 12471, 124711F (2023) https://doi.org/10.1117/12.2653946

KEYWORDS: Breast cancer, Cancer, Proteins, Tumors, Multiplexing, Image analysis, Cell phenotyping, Tissues, Binary data

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Proceedings Article | 4 April 2022 Presentation + Paper

Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens

Wenchao Han, Alison Cheung, Dan Wang, Kela Liu, Martin Yaffe, Anne Martel

Proceedings Volume 12039, 120390J (2022) https://doi.org/10.1117/12.2612972

KEYWORDS: Tissues, Multiplexing, Breast cancer, Cancer, Proteins, Luminescence, Visualization, Oncology, Analytical research, Receptors

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Proceedings Article | 4 April 2022 Presentation + Paper

Spatial analysis of cellular arrangement using quantitative, single-cell imaging of protein multiplexing

Alison Cheung, Dan Wang, Kela Liu, Sarah Hynes, Ben Wang, Simone Stone, Pamela Ohashi, Martin Yaffe

Proceedings Volume 12039, 120390L (2022) https://doi.org/10.1117/12.2610955

KEYWORDS: Cancer, Proteins, Ovarian cancer, Tissues, Multiplexing, Spatial analysis, Oncology, Distance measurement, Tumors, Visualization

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Proceedings Article | 18 March 2019 Paper

Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy

Gouthamrajan Nadarajan, Tyna Hope, Dan Wang, Alison Cheung, Fiona Ginty, Martin Yaffe, Scott Doyle

Proceedings Volume 10956, 109560J (2019) https://doi.org/10.1117/12.2512991

KEYWORDS: Image segmentation, Tissues, Image registration, Multiplexing, Data modeling, Microscopy, Performance modeling, Image processing, Luminescence, Image classification

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