Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images

30 Jan 2020 C. T. Sari C. Sokmensuer C. Gunduz-Demir

This paper presents a new regularization method to train a fully convolutional network for semantic tissue segmentation in histopathological images. This method relies on the benefit of unsupervised learning, in the form of image reconstruction, for network training... (read more)

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