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

G. Nadarajan, T. Hope, D. Wang, A. Cheung, F. Ginty, M. Yaffe, и S. Doyle. Medical Imaging: Digital Pathology, том 10956 из SPIE Proceedings, стр. 109560J. SPIE, (2019)

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Thomas Doyle

Daniel Doyle Sánchez

Patricia Doyle

Laurance Doyle

Franziska Doyle

Другие публикации лиц с тем же именем

Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosin.G. Nadarajan, и S. Doyle. Medical Imaging: Digital Pathology, том 11320 из SPIE Proceedings, стр. 113200S. SPIE, (2020)Relationships among musculoskeletal impairments and functional health status in ambulatory cerebral palsy.M. Abel, D. Damiano, J. Blanco, M. Conaway, F. Miller, K. Dabney, D. Sutherland, H. Chambers, L. Dias, J. Sarwark и 6 other автор(ы). J Pediatr Orthop, 23 (4): 535--541 (2003)Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology.A. Sridhar, S. Doyle, и A. Madabhushi. ISBI, стр. 1897-1900. IEEE, (2011)Workflow Pipeline for Medical Image Data Curation and Sharing.S. Sakilay, D. Elbers, S. Doyle, L. Selva, B. Johnson, N. Do, и P. Elkin. AMIA, AMIA, (2019)A boosted distance metric: application to content based image retrieval and classification of digitized histopathology.J. Naik, S. Doyle, A. Basavanhally, S. Ganesan, M. Feldman, J. Tomaszewski, и A. Madabhushi. Medical Imaging: Computer-Aided Diagnosis, том 7260 из SPIE Proceedings, стр. 72603F. SPIE, (2009)WERITAS: weighted ensemble of regional image textures for ASM segmentation.R. Toth, S. Doyle, M. Rosen, A. Kalyanpur, S. Pungavkar, B. Bloch, E. Genega, N. Rofsky, R. Lenkinski, и A. Madabhushi. Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 725905. SPIE, (2009)Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis.S. Doyle, и A. Madabhushi. PRIB, том 6282 из Lecture Notes in Computer Science, стр. 313-324. Springer, (2010)Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.A. Madabhushi, S. Agner, A. Basavanhally, S. Doyle, и G. Lee. Comput. Medical Imaging Graph., 35 (7-8): 506-514 (2011)Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.M. Gurcan, J. Tomaszewski, J. Overton, S. Doyle, A. Ruttenberg, и B. Smith. J. Biomed. Informatics, (2017)A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology.G. Lee, S. Doyle, J. Monaco, M. Feldman, S. Master, J. Tomaszewski, и A. Madabhushi. ISBI, стр. 77-80. IEEE, (2009)

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