김민수 교수 연구실
article|
hybrid
·인용수 2
·2025
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification
Sungho Shim, Min Soo Kim, Che Gyem Yae, Yong Koo Kang, Jae Rock, Hong Kyun Kim, Hyun-Lim Yang
IF 4.6Journal of the American Medical Informatics Association
초록
This model offers a promising solution for advancing OCT image classification, achieving high accuracy while reducing the cost of extensive expert annotation and potentially streamlining clinical workflows, thereby supporting more efficient patient management.
키워드
Optical coherence tomographyComputer scienceArtificial intelligenceStage (stratigraphy)TomographyCoherence (philosophical gambling strategy)Pattern recognition (psychology)Machine learningComputer visionRadiology