Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound

BACKGROUND: To develop an ultrasound-based deep learning model to predict postoperative upgrading of pure ductal carcinoma in situ (DCIS) diagnosed by core needle biopsy (CNB) before surgery. METHODS: Of the 360 patients with DCIS diagnosed by CNB and identified retrospectively, 180 had lesions upst...

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Detalles Bibliográficos
Autores principales: Qian, Lang, Lv, Zhikun, Zhang, Kai, Wang, Kun, Zhu, Qian, Zhou, Shichong, Chang, Cai, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944276/
https://www.ncbi.nlm.nih.gov/pubmed/33708922
http://dx.doi.org/10.21037/atm-20-3981

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944276/
https://www.ncbi.nlm.nih.gov/pubmed/33708922
http://dx.doi.org/10.21037/atm-20-3981

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