Lesions Segmentation of Medical Ultrasound Images with Boundary Enhancement Strategy-Reference-Cited by-同舟云学术

Lesions Segmentation of Medical Ultrasound Images with Boundary Enhancement Strategy

Published:2022-03-18 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Intelligent Medicine and Image Processing
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Author:

Liao Wentao¹,Zhang Xuan¹,Song Wenbo¹,Wu Xinglong¹,Xu Guoping¹

Affiliation:

1. School of Computer Science & Engineering, Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524086.3524091

Reference21 articles.

1. Vasculogenesis in infantile hemangioma

2. Breast Cancer Treatment

3. Wang Ziyang Zhengdong Zhang Jian-Qing Zheng 2020. Deep Learning in Medical Ultrasound Image Segmentation: a Review. ArXiv:abs/2002.07703. https://arxiv.org/abs/2002.07703 Wang Ziyang Zhengdong Zhang Jian-Qing Zheng 2020. Deep Learning in Medical Ultrasound Image Segmentation: a Review. ArXiv:abs/2002.07703. https://arxiv.org/abs/2002.07703

4. BenTaieb , Aïcha and Ghassan Hamarneh . 2016 . Topology Aware Fully Convolutional Networks for Histology Gland Segmentation. Medical Image Computing and Computer-Assisted Intervention – MICCAI. Cham . 460-468. https://doi.org/10.1007/978-3-319-46723-8_53 10.1007/978-3-319-46723-8_53 BenTaieb, Aïcha and Ghassan Hamarneh. 2016. Topology Aware Fully Convolutional Networks for Histology Gland Segmentation. Medical Image Computing and Computer-Assisted Intervention – MICCAI. Cham. 460-468. https://doi.org/10.1007/978-3-319-46723-8_53

5. Learning Fully Dense Neural Networks for Image Semantic Segmentation

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