Toward Intraoperative Margin Assessment Using a Deep Learning-Based Approach for Automatic Tumor Segmentation in Breast Lumpectomy Ultrasound Images

Toward Intraoperative Margin Assessment Using a Deep Learning-Based Approach for Automatic Tumor Segmentation in Breast Lumpectomy Ultrasound Images

There is an unmet clinical need for an accurate, rapid and reliable tool for margin assessment during breast-conserving surgeries. Ultrasound offers the potential for a rapid, reproducible, and non-invasive method to assess margins. However, it is challenged by certain drawbacks, including a low sig...

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Bibliographic Details
Main Authors: Dinusha Veluponnar, Lisanne L. de Boer, Freija Geldof, Lynn-Jade S. Jong, Marcos Da Silva Guimaraes, Marie-Jeanne T. F. D. Vrancken Peeters, Frederieke van Duijnhoven, Theo Ruers, Behdad Dashtbozorg
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Cancers
Subjects:
ultrasound
breast cancer
deep learning
artificial intelligence
tumor segmentation
breast surgery
Online Access:https://www.mdpi.com/2072-6694/15/6/1652

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https://www.mdpi.com/2072-6694/15/6/1652

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