SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

20 Mar 2018Teng ZhangJohanna CarvajalDaniel F. SmithKun ZhaoArnold WiliemPeter HobsonAnthony JenningsBrian C. Lovell

This work tackles the automatic fine-grained slide quality assessment problem for digitized direct smears test using the Gram staining protocol. Automatic quality assessment can provide useful information for the pathologists and the whole digital pathology workflow... (read more)

PDF Abstract


No code implementations yet. Submit your code now


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

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet