Comparing classic to state-of-the-art image features: a clustering approach using local binary patterns and ResNet-18 features for lung ultrasound video classification

Bhattacharjee, SaunakKhan, UmairThompson, RussellEtter, Lauren P.Camelo, IngridPieciak, Rachel C.Castro-Aragon, IlseSetty, BinduGill, Christopher C.Betke, Margrit2025-03-202025-03-202024-10-21S. Bhattacharjee, U. Khan, R. Thompson, L.P. Etter, I. Camelo, R.C. Pieciak, I. Castro-Aragon, B. Setty, C.C. Gill, M. Betke. 2024. "Comparing Classic to State-of-the-Art Image Features: A Clustering Approach Using Local Binary Patterns and ResNet-18 Features for Lung Ultrasound Video Classification"https://hdl.handle.net/2144/49918Comparing classic to state-of-the-art image features: a clustering approach using local binary patterns and ResNet-18 features for lung ultrasound video classificationConference materials0000-0002-4491-6868 (Betke, Margrit)1023418