3 citations · 4 across the 5 of their papers we have counts for
6 papers
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
Renhui Zhang, Tiancheng Lin, Rui Zhang +1
Benchmark datasets for visual recognition assume that data is uniformly distributed, while real-world datasets obey long-tailed distribution. Current approaches handle the long-tai…
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin, Hongteng Xu, Canqian Yang +1
When applying multi-instance learning (MIL) to make predictions for bags of instances, the prediction accuracy of an instance often depends on not only the instance itself but also…
Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer
Yangrun Hu, Yuanfan Guo, Fan Zhang +4
Much progress has been made in the deep neural network (DNN) based diagnosis of mass lesions breast ultrasound (BUS) images. However, the non-mass lesion is less investigated becau…
Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis
Yuanfan Guo, Canqian Yang, Tiancheng Lin +3
Previous deep learning based Computer Aided Diagnosis (CAD) system treats multiple views of the same lesion as independent images. Since an ultrasound image only describes a partia…
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Jiancheng Yang, Jiajun Chen, Kaiming Kuang +3
Predicting clinical outcome is remarkably important but challenging. Research efforts have been paid on seeking significant biomarkers associated with the therapy response or/and p…
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
Tiancheng Lin, Yuanfan Guo, Canqian Yang +2
Early diagnosis of signet ring cell carcinoma dramatically improves the survival rate of patients. Due to lack of public dataset and expert-level annotations, automatic detection o…