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Methods for Segmentation and Classification of Digital Microscopy Tissue Images.

, , , , , , , , , , , , , и . CoRR, (2018)

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Navid Ramezanian

Stäbchenförmigen Stäbchenförmige Moleküle mit Nitroxyl-Radikalen für die Untersuchung der molekularen Flexibilität. Uni Bielefeld, (2007)

Badieh Alemi

Amir-Ali Navidy

Mojdeh Heidary Navid

Navid Khorshidi

 

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LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset., , , , , , , , , и 11 other автор(ы). CoRR, (2023)Nuclei Detection Using Mixture Density Networks., , , и . MLMI@MICCAI, том 11046 из Lecture Notes in Computer Science, стр. 241-248. Springer, (2018)Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups., , , , , , , , и . MIDL, том 172 из Proceedings of Machine Learning Research, стр. 423-440. PMLR, (2022)Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations., , , , и . IEEE Trans. Medical Imaging, 40 (10): 2845-2856 (2021)CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images., , , , , и . ICCV Workshops, стр. 388-398. IEEE, (2019)Working with scarce annotations in computational pathology.. University of Warwick, Coventry, UK, (2020)British Library, EThOS.PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification., , , , и . ECDP, том 11435 из Lecture Notes in Computer Science, стр. 11-19. Springer, (2019)Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images., , , , и . COMPAY/OMIA@MICCAI, том 11039 из Lecture Notes in Computer Science, стр. 139-147. Springer, (2018)Methods for Segmentation and Classification of Digital Microscopy Tissue Images., , , , , , , , , и 4 other автор(ы). CoRR, (2018)A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs., , , и . COMPAY@MICCAI, том 156 из Proceedings of Machine Learning Research, стр. 10-19. PMLR, (2021)