详情页 - 广东省中医院知识库

当前位置：首页 > 详情页

A Stain Normalization Method for the White Blood Cell Image

文献详情

资源类型：

WOS体系：

作者：

机构： [1]Department of Clinical Laboratory, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine. Department of Clinical Laboratory, Guangdong Provincial Hospital of Chinese Medicine Guangdong, China [2]Department of Biomedical Engineering, School of Medicine, Shenzhen University Shenzhen,China

出处：

DOI：

关键词： CNN Deep Learning GAN leukocyte

摘要：

In this paper, a new system is designed to translate dyeing style. The whole system includes blood smears preparation, image acquisition and segmentation, finally, training a dye style transmission network. In the system, we designed a new network based on Deep Learning for the leukocyte dyeing style translation. The network can automatically extract the features of sample images during training and reduces the influence of lighting, dyeing, and taking a photo by different devices. In addition, we also build two datasets, Base dataset and Target dataset. © 2019 IEEE.

基金：

基金编号： 2016A020215136,2016ZC0120

语种：

第一作者：

第一作者机构： [1]Department of Clinical Laboratory, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine. Department of Clinical Laboratory, Guangdong Provincial Hospital of Chinese Medicine Guangdong, China

推荐引用方式(GB/T 7714)：

APA：

MLA：

相关文献

[1]Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation [2]Deep learning for screening primary osteopenia and osteoporosis using spine radiographs and patient clinical covariates in a Chinese population [3]Multi-center Study of Deep Learning AI in Breast Mass [4]A Survey of Data Mining and Deep Learning in Bioinformatics. [5]Biology-guided deep learning predicts prognosis and cancer immunotherapy response [6]A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction [7]Deep learning-based ovarian cancer subtypes identification using multi-omics data [8]Exploring Anti-osteoporosis Medicinal Herbs using Cheminformatics and Deep Learning Approaches [9]Clinical knowledge embedded method based on multi-task learning for thyroid nodule classification with ultrasound images [10]Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately