Research on SED-UNet Segmentation Method for Neck Ultrasound Image
Ultrasound image is one of the commonly used medical diagnosis methods. Manual interpretation of ultrasound image largely depends on doctors ′ subjective experience and knowledge, which is time-consuming and labor-consuming, and is difficult to meet the needs of rapid and batch clinical diagnosis...
Saved in:
Main Authors: | LIU Mingzhu, FU Cong, SONG Shijie, ZHAO Shoubo |
---|---|
Format: | Article |
Language: | Chinese |
Published: |
Harbin University of Science and Technology Publications
2024-04-01
|
Series: | Journal of Harbin University of Science and Technology |
Subjects: | |
Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2308 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation
by: Muna Khalaf, et al.
Published: (2022-12-01) -
DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation
by: Jingwei Zhu, et al.
Published: (2025-01-01) -
CIA-UNet: An Attention-Enhanced Multi-Scale U-Net for Single Tree Crown Segmentation
by: Jiapeng Duan, et al.
Published: (2025-01-01) -
Medical Image Segmentation Based on Hybrid Deep Learning Techniques
by: Mohammed Abdulameer Aljanabi, et al.
Published: (2025-06-01) -
Cup and Disc Segmentation in Smartphone Handheld Ophthalmoscope Images with a Composite Backbone and Double Decoder Architecture
by: Thiago Paiva Freire, et al.
Published: (2025-04-01)