Liver segmentation using Mnet for cirrhosis

Author:

Balakrishnan Pushpa,Baskaran B.,Vivekanandan S.,Gokul P.,Sathiya B.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference33 articles.

1. TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach;Aghamohammadi;Expert Syst. Appl.,2021

2. Automatic liver segmentation using U-Net with Wasserstein GANs;Enokiya;Journal of Image and Graphics,2018

3. Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT images;Lu;Sci. Rep.,2018

4. Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation;Qin;Phys. Med. Biol.,2018

5. Computer-aided diagnosis of liver lesions using CT images: a systematic review;Nayantara;Comput. Biol. Med.,2020

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