Deep Learning for Medical Image Segmentation

@article{Lai2015DeepLF,
  title={Deep Learning for Medical Image Segmentation},
  author={Matthew Lai},
  journal={ArXiv},
  year={2015},
  volume={abs/1505.02000}
}
Pixel accurate 2-D, 3-D medical image segmentation to identify abnormalities for further analysis is on high demand for computer-aided medical imaging applications. Various segmentation algorithms have been studied and applied in medical imaging for many years, but the problem remains challenging due to growing a large number of variety of applications starting from lung disease diagnosis based on x-ray images, nucleus detection, and segmentation based on microscopic pictures to kidney tumour… 

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