説明
The proceedings from the Second International Workshop on Machine Learning for Medical Image Reconstruction gather insights from leading researchers in the field, spotlighting innovative approaches and technologies that leverage machine learning. The contributions presented reveal advancements in how machine learning enhances the accuracy and efficiency of medical imaging processes, paving the way for more precise diagnostics and treatment strategies.
Held alongside the prestigious MICCAI 2019 in Shenzhen, China, this collection captures the essence of cutting-edge discussions on the intersection of medical imaging and artificial intelligence. With a blend of theoretical foundations and practical applications, the work reflects the dynamic evolution of techniques that are reshaping the landscape of medical imaging, offering valuable perspectives for both academics and practitioners alike.
Held alongside the prestigious MICCAI 2019 in Shenzhen, China, this collection captures the essence of cutting-edge discussions on the intersection of medical imaging and artificial intelligence. With a blend of theoretical foundations and practical applications, the work reflects the dynamic evolution of techniques that are reshaping the landscape of medical imaging, offering valuable perspectives for both academics and practitioners alike.
本の詳細
形式
キンドル
ページ数
278ページ
言語
英語
公開されました
10月 24, 2019
出版社
Springer
ISBN-10
3030338436
ISBN-13
9783030338435