Effect of Training Volume on the Automatic Segmentation of Clinical Target Volume and
Organs at Risk in Patients with Cervical Cancer Based on Deep Learning

HU Jing; CHEN Fei; GONG Xiaoqin; YOU Tao; ZHANG Kaijun; DAI Chunhua

doi:10.3969/j.issn.1674-1633.2022.09.007

Effect of Training Volume on the Automatic Segmentation of Clinical Target Volume and Organs at Risk in Patients with Cervical Cancer Based on Deep Learning

HU Jing, CHEN Fei, GONG Xiaoqin, YOU Tao, ZHANG Kaijun, DAI Chunhua

China Medical Devices ›› 2022, Vol. 37 ›› Issue (9) : 33-37.

PDF(1590 KB)

China Medical Devices ›› 2022, Vol. 37 ›› Issue (9) : 33-37. DOI: 10.3969/j.issn.1674-1633.2022.09.007

RESEARCH WORK

Effect of Training Volume on the Automatic Segmentation of Clinical Target Volume and Organs at Risk in Patients with Cervical Cancer Based on Deep Learning

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2022, 37(9): 33-37 https://doi.org/10.3969/j.issn.1674-1633.2022.09.007

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

Funding

RIGHTS & PERMISSIONS

PDF(1590 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Published
2021-12-17	2022-09-10
Issue Date
2022-09-28

Please choose a citation manager

Content to export