Automatic segmentation method using FCN with multi-scale dilated convolution for medical ultrasound image-Reference-Cited by-同舟云学术

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Automatic segmentation method using FCN with multi-scale dilated convolution for medical ultrasound image

Published:2022-10-30 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Qian Ledan^ORCID,Huang Huiling,Xia Xiaonyu,Li Yi,Zhou Xiao

Funder

National Natural Science Foundation of China

Wenzhou Association For Science and Technology

Department of Education of Zhejiang Province

Soft Science Key Research Project of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-022-02705-w.pdf

Reference69 articles.

1. Kollmann, C.: Diagnostic ultrasound imaging: inside out. Ultrasound Med. Biol. 41(2), 622 (2015)

2. Ghose, S., Mitra, J., Oliver, A., Martí, R., Lladó, X., Freixenet, J., Vilanova, J.C., Comet, J., Sidibé, D., Meriaudeau, F.: Spectral clustering of shape and probability prior models for automatic prostate segmentation. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2335–2338. IEEE (2012)

3. Zhang, X., Lin, X., Zhang, Z., Dong, L., Sun, X., Sun, D., Yuan, K.: Artificial intelligence medical ultrasound equipment: application of breast lesions detection. Ultrason. Imag. 42(4–5), 191–202 (2020)

4. Moraru, L., Moldovanu, S., Nicolae, M.C.: De-noising ultrasound images of colon tumors using daubechies wavelet transform. In: AIP Conference Proceedings, volume 1387, pp. 294–299. American Institute of Physics (2011)

5. Koundal, D., Gupta, S., Singh, S.: Computer aided thyroid nodule detection system using medical ultrasound images. Biomed. Signal Process. Control 40, 117–130 (2018)

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