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Screening Breast Ultrasound Using Handheld or Automated Technique in Women with Dense Breasts.在乳腺致密的女性中使用手持或自动技术进行乳腺超声筛查。
J Breast Imaging. 2019 Dec 5;1(4):283-296. doi: 10.1093/jbi/wbz055.
3
Artificial Intelligence for Breast Ultrasound: Expert Panel Narrative Review.用于乳腺超声的人工智能：专家小组叙述性综述
AJR Am J Roentgenol. 2024 Dec;223(6):e2330645. doi: 10.2214/AJR.23.30645. Epub 2024 Feb 14.
4
Multi-region radiomics for artificially intelligent diagnosis of breast cancer using multimodal ultrasound.多区域放射组学在基于多模态超声的人工智能乳腺癌诊断中的应用。
Comput Biol Med. 2022 Oct;149:105920. doi: 10.1016/j.compbiomed.2022.105920. Epub 2022 Aug 6.
5
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.人工智能系统减少了乳腺超声检查中假阳性结果的出现。
Nat Commun. 2021 Sep 24;12(1):5645. doi: 10.1038/s41467-021-26023-2.
6
Handcrafted versus deep learning radiomics for prediction of cancer therapy response.手工制作的与深度学习的影像组学在预测癌症治疗反应方面的比较
Lancet Digit Health. 2019 Jul;1(3):e106-e107. doi: 10.1016/S2589-7500(19)30062-7. Epub 2019 Jun 27.
7
Artificial Intelligence: A Primer for Breast Imaging Radiologists.人工智能：乳腺影像放射科医生入门指南。
J Breast Imaging. 2020 Aug;2(4):304-314. doi: 10.1093/jbi/wbaa033. Epub 2020 Jun 19.
8
The value of S-Detect for the differential diagnosis of breast masses on ultrasound: a systematic review and pooled meta-analysis.S-Detect 对超声检查乳腺肿块的鉴别诊断价值：系统评价和汇总荟萃分析。
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9
Artificial intelligence in radiology.人工智能在放射学中的应用。
Nat Rev Cancer. 2018 Aug;18(8):500-510. doi: 10.1038/s41568-018-0016-5.
10
A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets.基于三种成像模式数据集的乳腺癌诊断的深度特征融合方法。
Med Phys. 2017 Oct;44(10):5162-5171. doi: 10.1002/mp.12453. Epub 2017 Aug 12.

Combining AI and Radiomics to Improve the Accuracy of Breast US.

作者信息

Bahl Manisha

机构信息

From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, WAC 240, Boston, MA 02114.

出版信息

Radiology. 2024 Sep;312(3):e241795. doi: 10.1148/radiol.241795.

DOI:10.1148/radiol.241795
PMID:39254454
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11427849/
Abstract
摘要