MS-CFNet: a multi-scale clinical studying-based and feature extraction-guided network for breast fibroadenoma segmentation in ultrasonography

IF 3.2 4区医学 Q2 ENGINEERING, BIOMEDICAL

Biomedical Engineering Letters Pub Date : 2023-10-10 DOI:10.1007/s13534-023-00330-7

Yongxin Guo, Yufeng Zhou

引用次数: 0

查看原文本刊更多论文

MS-CFNet:基于多尺度临床研究和特征提取引导的超声乳腺纤维腺瘤分割网络

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Biomedical Engineering Letters ENGINEERING, BIOMEDICAL-

CiteScore

6.80

自引率

0.00%

发文量

期刊介绍： Biomedical Engineering Letters (BMEL) aims to present the innovative experimental science and technological development in the biomedical field as well as clinical application of new development. The article must contain original biomedical engineering content, defined as development, theoretical analysis, and evaluation/validation of a new technique. BMEL publishes the following types of papers: original articles, review articles, editorials, and letters to the editor. All the papers are reviewed in single-blind fashion.