Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation

7 May 2019 Nils Gessert Alexander Schlaefer

Typically, deep learning architectures are handcrafted for their respective learning problem. As an alternative, neural architecture search (NAS) has been proposed where the architecture's structure is learned in an additional optimization step... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper