Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis

10.1038/s41598-017-17858-1

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Main Authors: Radhakrishnan, A, Damodaran, K, Soylemezoglu, A.C, Uhler, C, Shivashankar, G.V
Other Authors: MECHANOBIOLOGY INSTITUTE
Format: Article
Published: Nature Publishing Group 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/174374
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spelling sg-nus-scholar.10635-1743742024-04-03T09:52:40Z Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis Radhakrishnan, A Damodaran, K Soylemezoglu, A.C Uhler, C Shivashankar, G.V MECHANOBIOLOGY INSTITUTE BIOLOGICAL SCIENCES tumor marker artificial neural network cell nucleus computer assisted diagnosis diagnostic imaging fluorescence imaging human neoplasm procedures tumor cell line ultrastructure Biomarkers, Tumor Cell Line, Tumor Cell Nucleus Deep Learning Humans Image Interpretation, Computer-Assisted Neoplasms Neural Networks (Computer) Optical Imaging 10.1038/s41598-017-17858-1 Scientific Reports 7 1 17946 2020-09-04T02:27:03Z 2020-09-04T02:27:03Z 2017 Article Radhakrishnan, A, Damodaran, K, Soylemezoglu, A.C, Uhler, C, Shivashankar, G.V (2017). Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis. Scientific Reports 7 (1) : 17946. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-017-17858-1 2045-2322 https://scholarbank.nus.edu.sg/handle/10635/174374 Nature Publishing Group Unpaywall 20200831
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic tumor marker
artificial neural network
cell nucleus
computer assisted diagnosis
diagnostic imaging
fluorescence imaging
human
neoplasm
procedures
tumor cell line
ultrastructure
Biomarkers, Tumor
Cell Line, Tumor
Cell Nucleus
Deep Learning
Humans
Image Interpretation, Computer-Assisted
Neoplasms
Neural Networks (Computer)
Optical Imaging
spellingShingle tumor marker
artificial neural network
cell nucleus
computer assisted diagnosis
diagnostic imaging
fluorescence imaging
human
neoplasm
procedures
tumor cell line
ultrastructure
Biomarkers, Tumor
Cell Line, Tumor
Cell Nucleus
Deep Learning
Humans
Image Interpretation, Computer-Assisted
Neoplasms
Neural Networks (Computer)
Optical Imaging
Radhakrishnan, A
Damodaran, K
Soylemezoglu, A.C
Uhler, C
Shivashankar, G.V
Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis
description 10.1038/s41598-017-17858-1
author2 MECHANOBIOLOGY INSTITUTE
author_facet MECHANOBIOLOGY INSTITUTE
Radhakrishnan, A
Damodaran, K
Soylemezoglu, A.C
Uhler, C
Shivashankar, G.V
format Article
author Radhakrishnan, A
Damodaran, K
Soylemezoglu, A.C
Uhler, C
Shivashankar, G.V
author_sort Radhakrishnan, A
title Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis
title_short Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis
title_full Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis
title_fullStr Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis
title_full_unstemmed Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis
title_sort machine learning for nuclear mechano-morphometric biomarkers in cancer diagnosis
publisher Nature Publishing Group
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/174374
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