Micro-Net: A unified model for segmentation of various objects in microscopy images

In automated microscopic image analysis pipelines, segmentation of key structures such as tumours, glands and cells is an important step ((Awan et  al., 2017; Yuan et al., 2012; Qaiser et al., 2017)). Recent advances in deep learning have helped to achieve accurate segmentation of these structures. A major strength of deep learning is that the same network architecture can be used to segment various structures across different modalities by retraining and slight tuning of the input parameters ((Shelhamer et al., 2017; Ronneberger et al., 2015)).
Source: Medical Image Analysis - Category: Radiology Authors: Source Type: research