Automated morphological phenotyping using learned shape descriptors and functional maps: A novel approach to geometric morphometrics
Oshane O. Thomas, Hongyu Shen, Ryan L. Raaum, William E. H. Harcourt‐Smith, John D. Polk, Mark Hasegawa‐Johnson
This paper introduces morphVQ, an automated shape analysis method that captures morphological variation using functional maps and descriptor learning, achieving comparable accuracy to manual methods and auto3DGM while being more computationally efficient.
PLoS Computational Biology · Jan 19, 2023Peer-reviewedBioinformatics