8 citations · 14 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 5 cited
Leveraging Global Binary Masks for Structure Segmentation in Medical Images
Mahdieh Kazemimoghadam, Zi Yang, Lin Ma +3
Deep learning (DL) models for medical image segmentation are highly influenced by intensity variations of input images and lack generalization due to primarily utilizing pixels' in…
eess.IV2020★ 8 cited
Robustness study of noisy annotation in deep learning based medical image segmentation
Shaode Yu, Erlei Zhang, Junjie Wu +6
Partly due to the use of exhaustive-annotated data, deep networks have achieved impressive performance on medical image segmentation. Medical imaging data paired with noisy annotat…
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…