AI+Medical image analysis

Review

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

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