Pinned Repositories
BUS_Deep_Learning
Detection of Malignant and Benign lesions in Breast Ultrasound Images using Deep Learning
Computational-CryoEM
A curated list of awesome computational cryo-EM methods.
DAGAN
[ACM MM 2020] Dual Attention GANs for Semantic Image Synthesis
FPGA-3LevelCpu
static pipeline CPU on FPGA with three level storage
objects_counting_dmap
Objects counting from density map
olhandicrafts
这是我在大三上独立完成的一门课程（互联网数据库）的大作业。网站从底层数据库，后端框架，前端页面都采用自主设计和开发，具有需求发布，购物车，订单处理等基础功能，创新性地嵌入了Intel RealSense 手势识别技术用以登陆验证，编写爬虫程序获取了淘宝近四万条手工艺产品的数据，数据库信息庞大，并且做了检索，分类处理等工作。
projects
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
synthetic-medical-images
Synthetic Medical Images from Dual Generative Adversarial Networks
Ultrasound-Nerve-Segmentation
Segmenting the ultrasound images to find nerve structures in them using a U-net
yongshuo-Z's Repositories
yongshuo-Z/FPGA-3LevelCpu
static pipeline CPU on FPGA with three level storage
yongshuo-Z/Ultrasound-Nerve-Segmentation
Segmenting the ultrasound images to find nerve structures in them using a U-net
yongshuo-Z/BUS_Deep_Learning
Detection of Malignant and Benign lesions in Breast Ultrasound Images using Deep Learning
yongshuo-Z/Computational-CryoEM
A curated list of awesome computational cryo-EM methods.
yongshuo-Z/DAGAN
[ACM MM 2020] Dual Attention GANs for Semantic Image Synthesis
yongshuo-Z/objects_counting_dmap
Objects counting from density map
yongshuo-Z/olhandicrafts
这是我在大三上独立完成的一门课程（互联网数据库）的大作业。网站从底层数据库，后端框架，前端页面都采用自主设计和开发，具有需求发布，购物车，订单处理等基础功能，创新性地嵌入了Intel RealSense 手势识别技术用以登陆验证，编写爬虫程序获取了淘宝近四万条手工艺产品的数据，数据库信息庞大，并且做了检索，分类处理等工作。
yongshuo-Z/projects
yongshuo-Z/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
yongshuo-Z/synthetic-medical-images
Synthetic Medical Images from Dual Generative Adversarial Networks
yongshuo-Z/VesselSegmentation_ESWA
Support repository for the paper "Retinal vessel segmentation based on Fully Convolutional Neural Networks", Expert Systems with Applications, Volume 112, 1 December 2018, Pages 229-242.
yongshuo-Z/WeiboNewsProject
系统从互联网爬取资讯，对热点公共事件进行检测、聚合和追踪，多维度分析事件内容，监测时间传播路径，分析用户的观点和和情绪，形成摘要、报告、图表等分析结果，实现公共事件的舆情分析可视化系统，提供专业的舆情监测、分析和预警服务