MBANet: Multi-branch aware network for kidney ultrasound images segmentation

Author:

Chen GongpingORCID,Dai Yu,Zhang Jianxun,Yin Xiaotao,Cui Liang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference43 articles.

1. Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: a systematic review;Torres;Comput. Methods Progr. Biomed.,2018

2. Segmentation of kidney from ultrasound images based on texture and shape priors;Xie;IEEE Trans. Med. Imag.,2005

3. A dynamic graph cuts method with integrated multiple feature maps for segmenting kidneys in 2D ultrasound images;Zheng;Acad. Radiol.,2018

4. Fast kidney detection and segmentation with learned kernel convolution and model deformation in 3D ultrasound images;Ardon,2015

5. An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours;Martín-Fernández;Med. Image Anal.,2005

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