Bulletin of the American Physical Society
APS March Meeting 2024
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session Z18: Data science, AI, and machine learning in physics II
11:30 AM–2:18 PM,
Friday, March 8, 2024
Room: M100I
Sponsoring
Units:
GDS GMED
Chair: Neha Goswami, University of Illinois Urbana-Champaign
Abstract: Z18.00006 : Deep learning for image analysis of breast and prostate cancer cell cultures*
12:30 PM–12:42 PM
Presenter:
Aliakbar Sepehri
(University of North Dakota)
Authors:
Aliakbar Sepehri
(University of North Dakota)
Ian Bergerson
(University of North Dakota)
Yen Lee Loh
(University of North Dakota)
Lucas Bierscheid
(North dakota university state)
John Wilkinson
(North Dakota State University)
*This research was supported by the National Science Foundation under NSF EPSCoR Track-1 CooperativeAgreement OIA #1946202. This work used resources of the Center for Computationally Assisted Science and Technology (CCAST) at North Dakota State University, which were made possible in part by NSF MRI Award No. 2019077. This work used advanced cyberinfrastructure resources provided by the University of North Dakota Computational Research Center. Imaging studies were conducted in the UND Imaging Core facility supported by NIH grant P20GM113123, DaCCoTA CTR NIH grant U54GM128729, and UNDSMHS funds.
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700