Deep learning-based label-free hematology analysis framework using optical diffraction tomography.

Ryu, Dongmin; Bak, Taeyoung; Ahn, Daewoong; Kang, Hayoung; Oh, Sanggeun; Min, Hyun-Seok; Lee, Sumin; Lee, Jimin

Ryu, Dongmin; Bak, Taeyoung; Ahn, Daewoong; Kang, Hayoung; Oh, Sanggeun; Min, Hyun-Seok; Lee, Sumin; Lee, Jimin.

Afiliação

Ryu D; Tomocube Inc., Daejeon, 34109, Republic of Korea.
Bak T; Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Ahn D; Tomocube Inc., Daejeon, 34109, Republic of Korea.
Kang H; Tomocube Inc., Daejeon, 34109, Republic of Korea.
Oh S; Tomocube Inc., Daejeon, 34109, Republic of Korea.
Min HS; Tomocube Inc., Daejeon, 34109, Republic of Korea.
Lee S; Tomocube Inc., Daejeon, 34109, Republic of Korea.
Lee J; Department of Nuclear Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.

Heliyon ; 9(8): e18297, 2023 Aug.

Article em En | MEDLINE | ID: mdl-37576294

Palavras-chave

Deep learning; Hematology analysis; Label-free imaging; Object detection; Optical diffraction tomography

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article

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