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eess.IV2021
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation
Mahdieh Kazemimoghadam, Weicheng Chi, Asal Rahimi +5
Efficient, reliable and reproducible target volume delineation is a key step in the effective planning of breast radiotherapy. However, post-operative breast target delineation is…
eess.IV2020
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
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…