Artificial intelligence-based vessel suppression for detection of sub-solid nodules in lung cancer screening computed tomography.

Singh, Ramandeep; Kalra, Mannudeep K; Homayounieh, Fatemeh; Nitiwarangkul, Chayanin; McDermott, Shaunagh; Little, Brent P; Lennes, Inga T; Shepard, Jo-Anne O; Digumarthy, Subba R

Singh, Ramandeep; Kalra, Mannudeep K; Homayounieh, Fatemeh; Nitiwarangkul, Chayanin; McDermott, Shaunagh; Little, Brent P; Lennes, Inga T; Shepard, Jo-Anne O; Digumarthy, Subba R.

Afiliación

Singh R; Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.
Kalra MK; Harvard Medical School, Boston, MA, USA.
Homayounieh F; Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.
Nitiwarangkul C; Harvard Medical School, Boston, MA, USA.
McDermott S; Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.
Little BP; Harvard Medical School, Boston, MA, USA.
Lennes IT; Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.
Shepard JO; Harvard Medical School, Boston, MA, USA.
Digumarthy SR; Division of Diagnostic Radiology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.

Quant Imaging Med Surg ; 11(4): 1134-1143, 2021 Apr.

Article en En | MEDLINE | ID: mdl-33816155

Palabras clave

Artificial intelligence (AI); multidetector-row computed tomography; pulmonary cancer; pulmonary nodule

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: China

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