A novel convolutional neural network for kidney ultrasound images segmentation

Global guidance network for breast lesion segmentation in ultrasound images

(2021) Cheng Xue et al.   MEDICAL IMAGE ANALYSIS

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

(2021) Gongping Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Blind de-convolution of images degraded by atmospheric turbulence

(2020) Gongping Chen et al.   APPLIED SOFT COMPUTING

U-net like deep autoencoders for deblurring atmospheric turbulence

(2019) Gongping Chen et al.   JOURNAL OF ELECTRONIC IMAGING

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

(2019) Shi Yin et al.   MEDICAL IMAGE ANALYSIS

A Dynamic Graph Cuts Method with Integrated Multiple Feature Maps for Segmenting Kidneys in 2D Ultrasound Images

(2018) Qiang Zheng et al.   ACADEMIC RADIOLOGY

Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review

(2018) Helena R. Torres et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE