研究论文
Multi-task learning for segmentation and classification of breast tumors from ultrasound images
Qiqi He, Qiuju Yang, Hang Su, Yixuan Wang
Xidian University Shaanxi Normal University
来源Computers in Biology and Medicine
年份2024
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逐年被引趋势
34170
24
25
3426
关键指标
70
被引次数 · OpenAlex
10.25
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
75
参考文献
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学术脉络
学科主题
计算机 / AIAI in cancer detection
Medical Image Segmentation Techniques · Radiomics and Machine Learning in Medical Imaging
参考文献 75
Very Deep Convolutional Networks for Large-Scale Image Recognition
被引 88,465Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014
U-Net: Convolutional Networks for Biomedical Image Segmentation
被引 99,095Olaf Ronneberger, Philipp Fischer, Thomas Brox · Lecture notes in computer science · 2015
Cell-based dual snake model: a new approach to extracting highly winding boundaries in the ultrasound images
被引 27Chung‐Ming Chen, Henry Horng‐Shing Lu, Yueng-Shiang Huang · Ultrasound in Medicine & Biology · 2002
此处列出前 3 条
引用本文 70
InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis
被引 58İshak Paçal, Omneya Attallah · Biomedical Signal Processing and Control · 2025
A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors
被引 45Aymen M. Al-Hejri, Archana Harsing Sable, Riyadh M. Al-Tam · Scientific Reports · 2025
A Multi-Task Transformer With Local-Global Feature Interaction and Multiple Tumoral Region Guidance for Breast Cancer Diagnosis
被引 22Yi Zhang, Bolun Zeng, Jia Li · IEEE Journal of Biomedical and Health Informatics · 2024
按被引量排序，此处列出前 3 条