The Importance of Skip Connections in Biomedical Image Segmentation.

Drozdzal, Michal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, and Chris Pal.

In this paper, we study the influence of both long and short skip connections on Fully Convolutional Networks (FCN) for biomedical image segmentation. In standard FCNs, only long skip connections are used to skip features from the contracting path to the expanding path in order to recover spatial information lost during downsampling. We extend FCNs by adding short skip connections, that are similar to the ones introduced in residual networks, in order to build very deep FCNs (of hundreds of layers). A review of the gradient flow confirms that for a very deep FCN it is beneficial to have both long and short skip connections. Finally, we show that a very deep FCN can achieve near-to-state-of-the-art results on the EM dataset without any further post-processing.

Related posts

Digital Technology Supercluster Announces Investment to Increase the Effectiveness of Precision Oncology

Digital Technology Supercluster Announces Investment to Increase the Effectiveness of Precision Oncology

Harnessing artificial intelligence to take the guesswork out of diagnosing cancer recurrence for millions of cancer survivors

Read more
How to Bring Biomarker Testing In-House for Cancer Targeted Treatment Selection

How to Bring Biomarker Testing In-House for Cancer Targeted Treatment Selection

Personalized cancer treatment via targeted therapies is two-to-three times more effective than standard chemotherapy for patients with advan

...
Read more
Imagia Cybernetics & Canexia Health Merge to Supercharge Precision Oncology Accessibility

Imagia Cybernetics & Canexia Health Merge to Supercharge Precision Oncology Accessibility

Imagia Cybernetics, an AI-healthcare company that accelerates oncology solutions generated from real world data, today announced its merger

...
Read more