4 citations · 8 across the 4 of their papers we have counts for
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cs.CV2023
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
Huadeng Wang, Hao Xu, Bingbing Li +4
Mitosis detection is one of the challenging problems in computational pathology, and mitotic count is an important index of cancer grading for pathologists. However, current counts…
cs.CV2022★ 4 cited
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification
Huadeng Wang, Zhipeng Liu, Rushi Lan +4
Mitosis nuclei count is one of the important indicators for the pathological diagnosis of breast cancer. The manual annotation needs experienced pathologists, which is very time-co…
cs.CV2022★ 1 cited
Binary Representation via Jointly Personalized Sparse Hashing
Xiaoqin Wang, Chen Chen, Rushi Lan +4
Unsupervised hashing has attracted much attention for binary representation learning due to the requirement of economical storage and efficiency of binary codes. It aims to encode…