Review

• A list of deep learning implementations in biology, 主要针对基因组学

• 2018.02-Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Future of DL in radiology

• these results are only applicable to a very small minority of the tasks that radiologists perform.
• how to incorporate deep learning algorithms into the radiology workflow in order to improve, rather than disrupt the radiology practice.

英文借鉴

• One approach that addresses the shortcomings of the pixel-based segmentation is a fully convolutional neural network (fCNN)

文章+代码集锦

TMI

• 201808-Medical Image Imputation from Image Collections. (code)
  MIT，由低分辨率图像得到高分辨率图像。We introduce a generative model that captures fine-scale anatomical structure across subjects in clinical image collections and derive an algorithm for filling in the missing data in scans with large inter-slice
  spacing.
• SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth (code)
  end-to-end synthesis and segmentation without groudtruth.

MIA

Arxiv

Others