TY - GEN
T1 - An independent replicability study of MesoNet for automated segmentation and landmark identification in functional widefield optical imaging in mice
AU - Yuan, Aurora
AU - Fisher, Hayden B.
AU - Padawer-Curry, Jonah
AU - Bauer, Adam Q.
AU - White, Brian R.
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024
Y1 - 2024
N2 - MesoNet is an automated landmark identification and segmentation program for widefield optical imaging in mice. Using a multi-institutional dataset to assess external reliability we find promising results, but errors that prevent use without retraining.
AB - MesoNet is an automated landmark identification and segmentation program for widefield optical imaging in mice. Using a multi-institutional dataset to assess external reliability we find promising results, but errors that prevent use without retraining.
UR - http://www.scopus.com/inward/record.url?scp=85211748980&partnerID=8YFLogxK
U2 - 10.1364/translational.2024.jm4a.46
DO - 10.1364/translational.2024.jm4a.46
M3 - Conference contribution
AN - SCOPUS:85211748980
T3 - Optical Tomography and Spectroscopy, OT and S 2024 in Proceedings Optica Biophotonics Congress: Biomedical Optics 2024, Translational, Microscopy, OCT, OTS, BRAIN - Part of Optica Biophotonics Congress: Biomedical Optics
BT - Optical Tomography and Spectroscopy, OT and S 2024 in Proceedings Optica Biophotonics Congress
PB - Optical Society of America
T2 - Optical Tomography and Spectroscopy, OT and S 2024 - Part of Optica Biophotonics Congress: Biomedical Optics
Y2 - 7 April 2024 through 10 April 2024
ER -