From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices

Y Yinghui Liu (State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering) H Haitao Liu (State Key Laboratory of Anti-Infective Drug Discovery and Development, Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, and School of Pharmaceutical Sciences) L Linlan Li Y Ying Ding

Article Details

Volume / Issue Vol. 15, Issue 1
Published May 06, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

Y

Yinghui Liu

State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering

H

Haitao Liu

State Key Laboratory of Anti-Infective Drug Discovery and Development, Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, and School of Pharmaceutical Sciences

L

Linlan Li

Y

Ying Ding