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Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule.

J. Xu, H. Lu, H. Li, X. Wang, A. Madabhushi, and Y. Xu. ECDP, volume 11435 of Lecture Notes in Computer Science, page 117-124. Springer, (2019)

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Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yue Wang University of Stuttgart

Xiwei Wang University of Stuttgart

Other publications of authors with the same name

Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule.J. Xu, H. Lu, H. Li, X. Wang, A. Madabhushi, and Y. Xu. ECDP, volume 11435 of Lecture Notes in Computer Science, page 117-124. Springer, (2019)A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images.J. García-Arteaga, G. Corredor, X. Wang, V. Velcheti, A. Madabhushi, and E. Romero. SIPAIM, volume 10572 of SPIE Proceedings, page 1057203. SPIE, (2017)A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images.G. Corredor, X. Wang, C. Lu, V. Velcheti, E. Romero, and A. Madabhushi. Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810R. SPIE, (2018)Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer.C. Lu, X. Wang, P. Prasanna, G. Corredor, G. Sedor, K. Bera, V. Velcheti, and A. Madabhushi. MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 407-416. Springer, (2018)Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer.C. Barrera, G. Corredor, X. Wang, K. Schalper, D. Rimm, V. Velcheti, A. Madabhushi, and E. Castro. Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095607. SPIE, (2019)Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net.J. Xu, C. Cai, Y. Zhou, B. Yao, G. Xu, X. Wang, K. Zhao, A. Madabhushi, Z. Liu, and L. Liang. ECDP, volume 11435 of Lecture Notes in Computer Science, page 100-108. Springer, (2019)Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes.P. Toro, G. Corredor, X. Wang, V. Arias, V. Velcheti, A. Madabhushi, and E. Romero. SIPAIM, volume 10572 of SPIE Proceedings, page 1057202. SPIE, (2017)