DSEU-net

DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation (Expert Systems with Applications)

Network

3. Datasets：

Breast ultrasound dataset:

(1)BUSI: W. Al-Dhabyani., Dataset of breast ultrasound images, Data Br. 28 (2020) 104863.
(2)Dataset B: M. H. Yap et al., Breast ultrasound region of interest detection and lesion localisation, Artif. Intell. Med., vol. 107, no. August 2019, p. 101880, 2020.
(3)STU: Z. Zhuang, N. Li, A. N. Joseph Raj, V. G. V Mahesh, and S. Qiu, “An RDAU-NET model for lesion segmentation in breast ultrasound images,” PLoS One, vol. 14, no. 8, p. e0221535, 2019.

Kidney ultrasound dataset:

we collected contains 300 clinical kidney ultrasound images from 300 patients in the Fourth Medical Center of the PLA General Hospital and the Civil Aviation General Hospital.

Experimental Setting

The development environment of our network is Ubuntu 20.04, python 3.6 and TensorFlow 2.6.0. We train our network with two NVIDIA RTX 3090 GPUs.

Experiment Results