Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model.

Srivastava, Durgesh; Srivastava, Santosh Kumar; Khan, Surbhi Bhatia; Singh, Hare Ram; Maakar, Sunil K; Agarwal, Ambuj Kumar; Malibari, Areej A; Albalawi, Eid

Srivastava, Durgesh; Srivastava, Santosh Kumar; Khan, Surbhi Bhatia; Singh, Hare Ram; Maakar, Sunil K; Agarwal, Ambuj Kumar; Malibari, Areej A; Albalawi, Eid.

Afiliación

Srivastava D; Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida 201310, India.
Srivastava SK; Chitkara Institute of Engineering and Technology, Chitkara University, Punjab 140601, India.
Khan SB; School of Computing Science & Engineering, Galgotias University, Greater Noida 203201, India.
Singh HR; Department of Data Science, School of Science Engineering and Environment, University of Salford, Manchester M54WT, UK.
Maakar SK; Department of Engineering and Environment, University of Religions and Denominations, Qom 37491-13357, Iran.
Agarwal AK; Department of Electrical and Computer Engineering, Lebanese American University, Byblos P.O. Box 13-5053, Lebanon.
Malibari AA; Department of Computer Science & Engineering, GNIOT, Greater Noida 201310, India.
Albalawi E; School of Computing Science & Engineering, Galgotias University, Greater Noida 203201, India.

Diagnostics (Basel) ; 13(22)2023 Nov 20.

Article en En | MEDLINE | ID: mdl-37998620

Palabras clave

accuracy; bounding box regression; detection; evaluation; future pyramidal network; loss function; up-sampling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Suiza

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