Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings-Reference-Cited by-同舟云学术

Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings

Published:2018-08-16 Issue:9 Volume:12 Page:9081-9090
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Min Jouha¹^ORCID,Im Hyungsoon¹²^ORCID,Allen Matthew¹,McFarland Phillip J.¹,Degani Ismail¹³,Yu Hojeong¹,Normandin Erica⁴,Pathania Divya¹,Patel Jaymin M.⁵,Castro Cesar M.¹⁶,Weissleder Ralph¹²⁴^ORCID,Lee Hakho¹²^ORCID

Affiliation:

1. Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States

2. Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States

3. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

4. Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, United States

5. BreastCare Center, Division of Hematology Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, United States

6. Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, United States

Funder

National Cancer Institute

National Research Foundation of Korea

National Heart, Lung, and Blood Institute

Massachusetts General Hospital

V Foundation for Cancer Research

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.8b03029

Reference40 articles.

1. Global estimates of cancer prevalence for 27 sites in the adult population in 2008

2. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

3. Global Cancer Incidence and Mortality Rates and Trends—An Update

4. Biomarkers in Cancer Staging, Prognosis and Treatment Selection

5. Introduction of Breast Cancer Screening in Chernihiv Oblast in the Ukraine: Report of a PATH Breast Cancer Assistance Program Experience

Cited by 25 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. Deep learning model for automatic image quality assessment in PET;BMC Medical Imaging;2023-06-05

2. Computer analysis of abnormal proliferation and transformation cells in gastric mucosa and its clinical significance;Biotechnology and Genetic Engineering Reviews;2023-04-17

3. Nanotechnology‐based electrochemical biosensors for monitoring breast cancer biomarkers;Medicinal Research Reviews;2022-12-04

4. The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review;Journal of Medical Internet Research;2022-11-01

5. High expression of CCNB1 driven by ncRNAs is associated with a poor prognosis and tumor immune infiltration in breast cancer;Aging;2022-08-29