all AI news
Improved Focus on Hard Samples for Lung Nodule Detection
March 8, 2024, 5:45 a.m. | Yujiang Chen, Mei Xie
cs.CV updates on arXiv.org arxiv.org
Abstract: Recently, lung nodule detection methods based on deep learning have shown excellent performance in the medical image processing field. Considering that only a few public lung datasets are available and lung nodules are more difficult to detect in CT images than in natural images, the existing methods face many bottlenecks when detecting lung nodules, especially hard ones in CT images. In order to solve these problems, we plan to enhance the focus of our network. …
abstract arxiv cs.cv datasets deep learning detection detection methods eess.iv focus image image processing images medical natural performance processing public samples type
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Reporting & Data Analytics Lead (Sizewell C)
@ EDF | London, GB
Data Analyst
@ Notable | San Mateo, CA