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pro vyhledávání: '"Nicolas Judd"'
Publikováno v:
Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis.
Convolutional neural networks (CNN) are a class of machine learning model that are especially well suited for imagebased tasks. In this study, we design and train a CNN on tissue samples imaged using Multi-Photon Microscopy (MPM) and show that the mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4fd10ff3ab6afab872cf1277840705c
https://doi.org/10.1117/12.2509133
https://doi.org/10.1117/12.2509133
Autor:
Jason T. Smith, Ryan Gallagher, Richard V. Szeligowski, Sushmita Mukherjee, Nicolas Judd, Michael Icaza, Binlin Wu, Manu Jain
Publikováno v:
Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis.
A clear distinction between oncocytoma and chromophobe renal cell carcinoma (chRCC) is critically important for clinical management of patients. But it may often be difficult to distinguish the two entities based on hematoxylin and eosin (H and E) st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e344e7a4e6fe07ba6e3ab4a6a7c156ee
https://doi.org/10.1117/12.2288088
https://doi.org/10.1117/12.2288088
Publikováno v:
FIE
Low graduation rate is a significant and growing problem in U.S. higher education systems. Although previous studies have demonstrated the usefulness of building statistical models for predicting students' graduation outcomes, advanced machine learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974210786df1b21a00e1c508173aadd2
https://doi.org/10.1109/fie.2017.8190666
https://doi.org/10.1109/fie.2017.8190666