228 citations · 243 across the 8 of their papers we have counts for
8 papers
Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation
Pengwu Song, Zhiping Wang, Peng Yao +5
The chorioallantoic membrane (CAM) model is a widely used in vivo platform for studying angiogenesis, especially in relation to tumor growth, drug delivery, and vascular biology.Si…
Label-free Prediction of Vascular Connectivity in Perfused Microvascular Networks in vitro
Liang Xu, Pengwu Song, Shilu Zhu +10
Continuous monitoring and in-situ assessment of microvascular connectivity have significant implications for culturing vascularized organoids and optimizing the therapeutic strateg…
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation
Liang Xu, Mingxiao Chen, Yi Cheng +4
The UNet architecture, based on Convolutional Neural Networks (CNN), has demonstrated its remarkable performance in medical image analysis. However, it faces challenges in capturin…
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification
Liang Xu, Yi Cheng, Fan Zhang +6
Deep convolutional neural networks often perform poorly when faced with datasets that suffer from quantity imbalances and classification difficulties. Despite advances in the field…
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Yu Shen, Yang Li, Jian Zheng +6
Designing neural architectures requires immense manual efforts. This has promoted the development of neural architecture search (NAS) to automate the design. While previous NAS met…
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization
Fan Zhang, Bo Pan, Pengfei Shao +4
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved…
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao, Shuwei Shen, Mengjuan Xu +6
Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even super…
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Shuwei Shen, Mengjuan Xu, Fan Zhang +8
Although deep convolutional neural networks (DCNNs) have achieved significant accuracy in skin lesion classification comparable or even superior to those of dermatologists, practic…