64 citations · 299 across the 12 of their papers we have counts for
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physics.med-ph2019★ 55 cited
A Feasibility Study on Deep Learning-Based Radiotherapy Dose Calculation
Yixun Xing, Dan Nguyen, Weiguo Lu +2
Purpose: Various dose calculation algorithms are available for radiation therapy for cancer patients. However, these algorithms are faced with the tradeoff between efficiency and a…
eess.IV2019★ 1 cited
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks
Erlei Zhang, Zi Yang, Stephen Seiler +3
Breast ultrasound (US) is an effective imaging modality for breast cancer detec-tion and diagnosis. The structural characteristics of breast lesion play an im-portant role in Compu…
physics.med-ph2019★ 60 cited
BIRADS Features-Oriented Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis
Erlei Zhang, Stephen Seiler, Mingli Chen +2
Breast ultrasound (US) is an effective imaging modality for breast cancer detection and diagnosis. US computer-aided diagnosis (CAD) systems have been developed for decades and hav…