[17] Tahmassebi A, Wengert GJ, Helbich TH, et al. Impact of machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy and survival outcomes ...
Four-dimensional machine learning radiomics for the pretreatment assessment of breast cancer pathologic complete response to neoadjuvant chemotherapy in dynamic contrast-enhanced MRI[J]. J Magn Reson Imaging, 2023, 57(1): 97-110. DOI: 10. 1002...
Machine learningRadiomicsTexture analysisIn patients with breast cancer (BC), lymphovascular invasion (LVI) status is considered an important prognostic factor. We aimed to develop machine learning (ML)-based radiomics models for the prediction of LVI status in patients with BC, using preoperative MRI...
机器学习(machine learning，ML )可以提取MR 图像的高通量信息反映肿瘤的异质性，在NAC 早期甚至是治疗前预测肿瘤的反应。本文就ML 结合乳腺MRI 预判NAC 疗效的研究进展予以综述。[关键词]机器学习；磁共振成像；乳腺癌；新辅助化疗 Research progress of machine learning for predicting breast cancer response to ...
Improving breast cancer diagnostics with deep learning for MRI 使用深度学习改善乳腺癌诊断的MRI技术 01 文献速递介绍 乳腺磁共振成像(MRI)是一种高度敏感的检测乳腺癌的方式,报道的敏感性超过80%。传统上,其在筛查中的使用被限制在高风险患者身上。新的证据支持在中等风险和普通风险女性中进行筛查MRI的作用4)。诊...
Evidence suggests that further surgery is not necessarily required for tiny regions of MRI-detected malignancy. Almost all women who have breast-conserving surgery will have radiation. Radiotherapy may effectively treat these little additional areas of cancer. Some features of an MRI Noisy machine: The...
Multiparametric magnetic resonance imaging (mpMRI) has been shown to improve radiologists' performance in the clinical diagnosis of breast cancer. This machine learning study develops a deep transfer learning computer-aided diagnosis (CADx) methodology to diagnose breast cancer using mpMRI. The ...
the cancer might have gone undetected if she hadn’t pushed was a chilling thought. With any cancer diagnosis, time is of the essence and every day and every minute counts. This raised a crucial question so many women are asking: why don’t we just get MRI screenings for breast cancer?
Improving breast cancer diagnostics with deep learning for MRI 使用深度学习改善乳腺癌诊断的MRI技术 01 文献速递介绍 乳腺磁共振成像(MRI)是一种高度敏感的检测乳腺癌的方式,报道的敏感性超过80%。传统上,其在筛查中的使用被限制在高风险患者身上。新的证据支持在中等风险和普通风险女性中进行筛查MRI的作用4)。诊...
[5]Yu Y, He Z, Ouyang J, et al. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer:...