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2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), ISSN 1557-170X, 07/2017, Volume 2017, pp. 672 - 675
Tumor specimens contain a variety of healthy cells as well as cancerous cells, and this heterogeneity underlies resistance to various cancer therapies. But... 
Training | Image segmentation | Histopathology | Segmentation | Machine learning | Feature extraction | Pancreas | Immunofluorescence | Deep Learning | Tumors | Cancer | Machine Learning | Genomics | Cell Nucleus
Conference Proceeding
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), ISSN 1945-7928, 04/2018, Volume 2018-, pp. 199 - 202
The systematic study of nuclei patterns in pathology images is very important for fully charactering the grade of cancerous tissues. Nowadays, with the great... 
Training | Pair-wise Constraints | Pathology | Cell Nucleus Classification | Machine learning | Computer architecture | Entropy | Labeling | Task analysis | Deep Learning | Active Learning
Conference Proceeding
IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, 11/2019, Volume 66, Issue 11, pp. 3088 - 3097
Objective: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example, in Ki67 immunohistochemistry stained images.... 
Image recognition | Task analysis | Image analysis | fully convolutional networks | Microscopy | microscopy images | Feature extraction | neuroendocrine tumor | Ki67 | Nucleus classification | Tumors | Immune system | nucleus detection | ROBUST CELL DETECTION | nucleus detection fully convolutional networks | ENGINEERING, BIOMEDICAL | SEGMENTATION | CLASSIFICATION | NETWORKS | INDEX
Journal Article
Lab on a Chip, ISSN 1473-0197, 2017, Volume 17, Issue 4, pp. 663 - 670
The mechanical properties of the nucleus are closely related to many cellular functions; thus, measuring nuclear mechanical properties is crucial to our... 
Journal Article
PLoS ONE, ISSN 1932-6203, 01/2017, Volume 12, Issue 1, p. e0170688
Journal Article
Journal Article
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 04/2019, pp. 957 - 960
Despite significant recent success, modern computer vision techniques such as Convolutional Neural Networks (CNNs) are expensive to apply to cell-level... 
Training | transfer learning | Pipelines | Object detection | Cell detection | cell classification | Feature extraction | Data models | convolutional neural networks | Task analysis | Biomedical imaging
Conference Proceeding