From post

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images.

, , , , и . Medical Imaging: Digital Pathology, том 9791 из SPIE Proceedings, стр. 979106. SPIE, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Scoring nuclear pleomorphism using a visual BoF modulated by a graph structure., , , и . SIPAIM, том 10572 из SPIE Proceedings, стр. 1057205. SPIE, (2017)A Grading Strategy for Nuclear Pleomorphism in Histopathological Breast Cancer Images Using a Bag of Features (BOF)., , и . CIARP, том 9423 из Lecture Notes in Computer Science, стр. 75-82. Springer, (2015)End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging., , и . IEEE J. Biomed. Health Informatics, 24 (12): 3456-3465 (2020)Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors., , , и . ISBI, стр. 1008-1011. IEEE, (2015)Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images., , , , и . Medical Imaging: Digital Pathology, том 9791 из SPIE Proceedings, стр. 979106. SPIE, (2016)Multi-channel non-invasive fetal electrocardiography detection using wavelet decomposition., , , , , и . SIPAIM, том 10572 из SPIE Proceedings, стр. 105720U. SPIE, (2017)Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors., , , и . EMBC, стр. 5570-5573. IEEE, (2021)A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans., , , , , , , , и . ISBI, стр. 1665-1668. IEEE, (2021)Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation., , , , , , , и . ISBI, стр. 605-609. IEEE, (2019)Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model., , , и . STACOM@MICCAI, том 11395 из Lecture Notes in Computer Science, стр. 439-449. Springer, (2018)