Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks

Objective: In this work, we perform margin assessment of human breast tissue from optical coherence tomography (OCT) images using deep neural networks (DNNs). This work simulates an intraoperative setting for breast cancer lumpectomy. Methods: To train the DNNs, we use both the state-of-the-art meth...

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Hauptverfasser:	Triki, Amal Rannen, Blaschko, Matthew B, Jung, Yoon Mo, Song, Seungri, Han, Hyun Ju, Kim, Seung Il, Joo, Chulmin
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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