Machine learning for image reconstruction
This chapter provides an overview of current developments in the fast growing field of
machine learning for medical image reconstruction. A comprehensive overview of recent …
machine learning for medical image reconstruction. A comprehensive overview of recent …
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data
Purpose Cancers are almost always diagnosed by morphologic features in tissue sections.
In this context, machine learning tools provide new opportunities to describe tumor immune …
In this context, machine learning tools provide new opportunities to describe tumor immune …
Learned iterative reconstruction
J Adler - Handbook of Mathematical Models and Algorithms in …, 2021 - Springer
Learned iterative reconstruction methods have recently emerged as a powerful tool to solve
inverse problems. These deep learning techniques for image reconstruction achieve …
inverse problems. These deep learning techniques for image reconstruction achieve …