SDFNet: Automatic segmentation of kidney ultrasound images using multi-scale low-level structural feature

Author:

Chen Gongping,Dai Yu,Li Rui,Zhao Yu,Cui Liang,Yin Xiaotao

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. Recent computational methods for white blood cell nuclei segmentation: A comparative study;Andrade;Computer Methods and Programs in Biomedicine,2019

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

3. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

4. An automatic nucleus segmentation and CNN model based classification method of white blood cell;Banik;Expert Systems with Applications,2020

5. The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks;Berman,2018

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