HIGHLIGHTS
- who: Mubashir Ahmad et al. from the College of Computer Science and Software Engineering, Computer Vision Institute, Shenzhen University, Shenzhen, Guangdong Province, China have published the paper: EfficientLiverSegmentationfromComputedTomographyImages Using Deep Learning, in the Journal: Computational Intelligence and Neuroscience of 18/05/2022
- what: The authors propose a patch-based deep learning method for the segmentation of a liver from CT images using SAE. The aim of this method is to involve the radiologist in the process to discover the disease.
- how: For feature learning the authors are using the stacked autoencoder which is . . .
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