SODNet: Small Object Detection Using Deconvolutional Neural Network

IET Image Processing(2020)

引用 13|浏览64
暂无评分
摘要
Convolution neural network (CNN) is an efficient technique to detect objects in various kinds of images, especially for microaneurysm (MA) of diabetic retinopathy in retinal fundus image. This study proposes a deconvolutional neural network to accurately discriminate MA from non-MA. The deconvolution, instead of pooling operation, is embedded into the CNN to recover the erased details of feature m...
更多
查看译文
关键词
biomedical optical imaging,convolutional neural nets,diseases,eye,feature extraction,image classification,learning (artificial intelligence),medical image processing,object detection
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要