Expansive Receptive Field and Local Feature Extraction Network: Advancing Multiscale Feature Fusion for Breast Fibroadenoma Segmentation in Sonography
Author:
Funder
Chongqing Medical University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10278-024-01142-6.pdf
Reference50 articles.
1. Liu D, Shen G, Tang N, et al Robotic system for magnetic resonance imaging-guided high-intensity focus ultrasound application: Feasibility of breast fibroadenoma treatment. The International Journal of Medical Robotics and Computer Assisted Surgery n/a:e2519. https://doi.org/10.1002/rcs.2519
2. Jayasinghe Y, Simmons PS (2009) Fibroadenomas in adolescence. Current Opinion in Obstetrics and Gynecology 21:402–406. https://doi.org/10.1097/GCO.0b013e32832fa06b
3. Pavithra S, Vanithamani R, Justin J (2020) Computer aided breast cancer detection using ultrasound images. Materials Today: Proceedings 33:4802–4807. https://doi.org/10.1016/j.matpr.2020.08.381
4. Cheng HD (2010) Automated breast cancer detection and classification using ultrasound images: A survey. Pattern Recognition 43:299–317. https://doi.org/10.1016/j.patcog.2009.05.012
5. Guo Y, Chen M, Yang L, et al (2024) A neural network with a human learning paradigm for breast fibroadenoma segmentation in sonography. BioMedical Engineering OnLine 23:5. https://doi.org/10.1186/s12938-024-01198-z
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3