61 citations · 92 across the 4 of their papers we have counts for
4 papers
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Tianling Liu, Ran Su, Changming Sun +2
Ovarian cancer is one of the most serious cancers that threaten women around the world. Epithelial ovarian cancer (EOC), as the most commonly seen subtype of ovarian cancer, has ra…
Improving Monocular Visual Odometry Using Learned Depth
Libo Sun, Wei Yin, Enze Xie +3
Monocular visual odometry (VO) is an important task in robotics and computer vision. Thus far, how to build accurate and robust monocular VO systems that can work well in diverse s…
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
Weichuan Zhang, Xuefang Liu, Zhe Xue +2
Metric-based few-shot fine-grained image classification (FSFGIC) aims to learn a transferable feature embedding network by estimating the similarities between query images and supp…
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Qiangguo Jin, Hui Cui, Changming Sun +2
The insufficiency of annotated medical imaging scans for cancer makes it challenging to train and validate data-hungry deep learning models in precision oncology. We propose a new…