Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry-Reference-Cited by-同舟云学术

Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry

Published:2014-02-18 Issue:9 Volume:111 Page:3448-3453
ISSN:0027-8424
Container-title:Proceedings of the National Academy of Sciences
language:en
Short-container-title:Proc Natl Acad Sci USA

Author:

Basu Saurav,Kolouri Soheil,Rohde Gustavo K.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference18 articles.

1. Anonymous (2012) The quest for quantitative microscopy. Nat Methods 9(7):627.

2. Yang L (2009) Virtual microscopy and grid-enabled decision support for large-scale analysis of imaged pathology specimens. IEEE Trans Inform Technol Biomed , 13(4):636–644.

3. Automated microscopy in diagnostic histopathology: From image processing to automated reasoning

4. Demir C, Yener B (2005) Automated cancer diagnosis based on histopathological images: A systematic survey. Technical Report TR-05–09 (Rensselaer Polytechnic Institute, Troy, NY).

5. Rodenacker K Bengtsson E (2003) A feature set for cytometry on digitized microscopic images. Anal Cell Pathol 25(1):1–36.

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncertainty Quantification in Cost-effectiveness Analysis for Stochastic-based Infectious Disease Models: Insights from Surveillance on Lymphatic Filariasis;2024-08-03

2. Quantitative Stability of the Pushforward Operation by an Optimal Transport Map;Foundations of Computational Mathematics;2024-07-19

3. Discovering the gene-brain-behavior link in autism via generative machine learning;Science Advances;2024-06-14

4. Applications of Digital Pathology in Cancer: A Comprehensive Review;Annual Review of Cancer Biology;2024-06-12

5. Fully automated hematoma expansion prediction from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients;2024-05-15