CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI.

Santucci, Domiziana; Faiella, Eliodoro; Gravina, Michela; Cordelli, Ermanno; de Felice, Carlo; Beomonte Zobel, Bruno; Iannello, Giulio; Sansone, Carlo; Soda, Paolo

Santucci, Domiziana; Faiella, Eliodoro; Gravina, Michela; Cordelli, Ermanno; de Felice, Carlo; Beomonte Zobel, Bruno; Iannello, Giulio; Sansone, Carlo; Soda, Paolo.

Afiliación

Santucci D; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
Faiella E; Department of Radiology, Sant'Anna Hospital, Via Ravona, 22042 Como, Italy.
Gravina M; Department of Radiology, Sant'Anna Hospital, Via Ravona, 22042 Como, Italy.
Cordelli E; Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80131 Naples, Italy.
de Felice C; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
Beomonte Zobel B; Department of Radiology, University of Rome "Sapienza", Viale del Policlinico, 155, 00161 Rome, Italy.
Iannello G; Department of Radiology, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
Sansone C; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
Soda P; Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80131 Naples, Italy.

Cancers (Basel) ; 14(19)2022 Sep 21.

Article en En | MEDLINE | ID: mdl-36230497

Palabras clave

axillary lymph nodes status (ALNS); bounding box; breast cancer (BC); convolutional neural network (CNN); deep learning (DL)

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia

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