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Combining Deep Learning with Traditional Features for Classification and Segmentation of Pathological Images of Breast Cancer.

, , , , , , , , and . ISCID (1), page 3-6. IEEE, (2018)

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Combining Deep Learning with Traditional Features for Classification and Segmentation of Pathological Images of Breast Cancer., , , , , , , , and . ISCID (1), page 3-6. IEEE, (2018)Detection of Her2 Scores and Magnification from Whole Slide Images in Multi-Task Convolutional Network., , , , , , , and . ISCID (1), page 7-10. IEEE, (2018)Real-time scheduling and online resource allocation on scalable streaming media server., , , and . VCIP, volume 5150 of Proceedings of SPIE, page 544-551. SPIE, (2003)Distributed load adaptive scheduling for high speed input queued switch., , , , and . GLOBECOM, page 1197-1201. IEEE, (2004)Practical Algorithms of Bandwidth Regulation for Rate-Based Switching., , , , and . GLOBECOM, page 2483-2487. IEEE, (2007)Designing an AI-based Advisory Platform for Design Techniques., , and . ECIS, (2019)A Flexible Stem-Based Local Search Algorithm for Predicting RNA Secondary Structures Including Pseudoknots., , , , and . BIBE, page 411-417. IEEE Computer Society, (2007)Identifying Tumor in Whole-Slide Images of Breast Cancer Using Transfer Learning and Adaptive Sampling., , , , , , , , and . ICACI, page 167-172. IEEE, (2019)Mining Tandem Mass Spectral Data to Develop a More Accurate Mass Error Model for Peptide Identification., , , , , and . Pacific Symposium on Biocomputing, page 421-432. World Scientific, (2007)Multiple-threshold based scheduling algorithm for high performance input queued switches., , , and . ICON, page 755-759. IEEE, (2004)