Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessment.
Wei-Chung ShiaYu-Hsun KuoFang-Rong HsuJoseph LinWen-Pei WuHwa-Koon WuWei-Cheng YehDar-Ren ChenPublished in: Diagnostics (Basel, Switzerland) (2024)
The initial evaluation suggests that the deep learning-based image segmentation method is highly accurate in measuring breast tumor margins. This helps provide information related to tumor margins during surgery, and by using different datasets, this research method can also be applied to the surgical margin assessment of various types of tumors.