3D HOG-Aided Convolutional Neural Network for Prostate Segmentation in Biomedical Image-Reference-Cited by-同舟云学术

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3D HOG-Aided Convolutional Neural Network for Prostate Segmentation in Biomedical Image

Published:2023-08-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
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Author:

Li Yuchun¹,Huang Mengxing¹,Zhang Yu²,Bai Zhiming³

Affiliation:

1. Hainan University,School of Information and Communication Engineering,Haikou,China

2. Hainan University,College of Computer Dcience and Technology,Haikou,China

3. Haikou Municipal People's Hospital and Central South University Xiangya Medical College Affiliated Hospital,Haikou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330801/10331922/10332014.pdf?arnumber=10332014

Reference41 articles.

1. Cancer statistics, 2020

2. Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

3. Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer

4. Vision 20/20: Perspectives on automated image segmentation for radiotherapy

5. Segmentation of prostate boundaries from ultrasound images using statistical shape model

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