NSTL国家科技图书文献中心

1. Comparing DCE‐MRI and DSA: Understanding the embolization of hypervascular spinal metastases NSTL国家科技图书文献中心

Muhammad Adnan | Ameer Mustafa Farukh ... - 《Journal of medical imaging and radiation oncology》 - 2025,69(2) - 251～255 - 共5页

摘要： magnetic resonance imaging (DCE‐MRI) and Digital | both imaging techniques. DCE‐MRI* provides a non* | . DCE‐MRI* shows promise for cancer‐related* | insights and therapeutic applications for both DCE‐MRI | applications, offering advantages over conventional MRI* by*

关键词： DSA | bone | DCE‐MRI | hypervascular metastases | spine

2. Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI NSTL国家科技图书文献中心

Zhong, Yuming | Xu, Zeyan ... - 《Biomedical signal processing and control》 - 2025,105(Jul.) - 1.1～1.11 - 共11页

摘要： imaging (DCE-MRI) is crucial for the diagnosis and | network. We evaluate our method on an in-house DCE-MRI | Accurate segmentation of cancerous regions in | breast dynamic contrast-enhanced magnetic resonance | prognosis assessment of high-risk breast cancer. Deep

关键词： Breast cancer | DCE-MRI | Weakly-supervised segmentation | Bounding box annotation | Knowledge distillation

3. Automatic semantic segmentation of breast cancer in DCE-MRI using DeepLabV3+ with modified ResNet50 NSTL国家科技图书文献中心

Sahaya Pushpa Sarmil... | Milton A.... - 《Biomedical signal processing and control》 - 2025,99(Jan.) - 1.1～1.12 - 共12页

摘要： Resonance Imaging (DCE-MRI) is an effective technique for | for breast DCE-MRI* images. The proposed technique is* | tested on a QIN Breast DCE-MRI* dataset comprising 233* | accurately segmenting tumors from MRI* images. Two* | © 2024 Elsevier LtdResearch on breast cancer

关键词： Convolutional Neural Network | DeepLabV3+ | Dynamic Contrast Enhanced Magnetic Resonance Imaging | Semantic Segmentation

4. Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI NSTL国家科技图书文献中心

Lei Zhou | Yuzhong Zhang ... - 《IEEE Transactions on Medical Imaging》 - 2025,44(1) - 244～258 - 共15页

摘要： resonance imaging (DCE-MRI) has shown great promise in | results on private and public DCE-MRI* datasets* | Automated breast tumor segmentation on the | basis of dynamic contrast-enhancement magnetic | clinical practice, particularly for identifying the

关键词： Image segmentation | Transformers | Prototypes | Breast tumors | Tumors | Decoding | Medical diagnostic imaging

5. HRCUNet: Hierarchical Region Contrastive Learning for Segmentation of Breast Tumors in DCE-MRI NSTL国家科技图书文献中心

Jiezhou He | Zhiming Luo ... - 《Concurrency and computation: practice and experience》 - 2025,37(1) - e8319.1～e8319.14 - 共14页 - 被引量：1

摘要：. Extensive experiments on two breast DCE-MRI* datasets* | Segmenting breast tumors from dynamic contrast | -enhanced magnetic resonance images is a critical step in | the early detection and diagnosis of breast cancer | . However, this task becomes significantly more

关键词： contrastive learning | magnetic resonance imaging | multiscale strategy | tumor segmentation

6. Relationship between kinetic parameters of ultrafast dynamic contrast-enhanced (DCE) MRI and tumor-infiltrating lymphocytes (TILs) in breast cancer NSTL国家科技图书文献中心

Yamaguchi, Ken | Nakazono, Takahiko ... - 《Japanese journal of radiology》 - 2025,43(1) - 43～50 - 共8页

摘要：-enhanced (DCE) magnetic resonance imaging (MRI) and tumor | cancers who underwent DCE* MRI including ultrafast* | enhancement (TTE) derived from ultrafast DCE* sequence were* | delayed phase) derived from the conventional DCE | kinetic patterns from the conventional DCE* sequence and*

关键词： Breast cancer | Magnetic resonance imaging | Ultrafast | TILs | Prognosis

7. Focused ultrasound-induced blood-brain barrier opening: A comparative analysis of permeability quantification based on Ktrans and PS NSTL国家科技图书文献中心

Hyvlova, Denisa | Jirik, Radovan ... - 《Magnetic resonance in medicine》 - 2025,93(6) - 2610～2622 - 共13页

摘要： concentration curves, simulated DCE-MRI* data, and real* | the acquired DCE-MRI* data. Additionally, spatial* | PurposeFocused ultrasound-induced blood-brain | barrier (BBB) opening is a promising method for | neurotherapeutic delivery. The standard for quantifying induced

关键词： BBB opening | DCE-MRI | focused ultrasound | perfusion analysis | simulation | DCE‐MRI

8. TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs NSTL国家科技图书文献中心

Wang, Fan | Zou, Zhilin ... - 《Medical image analysis》 - 2025,99 - 103373～103373 - 共15页

摘要： (DCE-MRI) is a challenging task owing to the | Characterization of breast parenchyma in | dynamic contrast-enhanced magnetic resonance imaging | complexity of underlying tissue structures. Existing | quantitative approaches, like radiomics and deep learning

关键词： Topology | DCE-MRI | Persistent homology | Spatial attention | 3D CNN | pCR prediction

9. The Role of Dynamic Contrast Enhanced Magnetic Resonance Imaging in Evaluating Prostate Adenocarcinoma: A Partially-Blinded Retrospective Study of a Prostatectomy Patient Cohort With Whole Gland Histopathology Correlation and Application of PI-RADS or TNM Staging NSTL国家科技图书文献中心

Sridhar, Sajeev | Abouelfetouh, Zeyad ... - 《The Prostate》 - 2025,85(5) - 413～423 - 共11页

摘要： the relative contribution of DCE* MRI in a patient* | Background: Dynamic contrast-enhanced (DCE | ) magnetic resonance imaging (MRI) in the current Prostate | multi-parametric MRI* (mpMRI). Scans included T2WI, DWI* | , and DCE* imaging. Lesion conspicuity was scored on a*

关键词： ADC | conspicuity | DCE | DWI | MRI | PI-RADS | prostate cancer | T2W

10. A Comprehensive Model Outperformed the Single Radiomics Model in Noninvasively Predicting the HER2 Status in Patients with Breast Cancer NSTL国家科技图书文献中心

Liu, Weimin | Yang, Yiqing ... - 《Academic radiology》 - 2025,32(1) - 24～36 - 共13页

摘要： analyzed. All patients underwent preoperative breast MRI | dynamic contrast-enhanced MRI, and diffusion- weighted | Rationale and Objectives: This study aimed to | develop predictive models based on conventional magnetic | resonance imaging (cMRI) and radiomics features for

摘要： magnetic resonance imaging (DCE‐MRI) and Digital | both imaging techniques. DCE‐MRI* provides a non* | . DCE‐MRI* shows promise for cancer‐related* | insights and therapeutic applications for both DCE‐MRI | applications, offering advantages over conventional MRI* by*

关键词： DSA | bone | DCE‐MRI | hypervascular metastases | spine

摘要： imaging (DCE-MRI) is crucial for the diagnosis and | network. We evaluate our method on an in-house DCE-MRI | Accurate segmentation of cancerous regions in | breast dynamic contrast-enhanced magnetic resonance | prognosis assessment of high-risk breast cancer. Deep

关键词： Breast cancer | DCE-MRI | Weakly-supervised segmentation | Bounding box annotation | Knowledge distillation

摘要： Resonance Imaging (DCE-MRI) is an effective technique for | for breast DCE-MRI* images. The proposed technique is* | tested on a QIN Breast DCE-MRI* dataset comprising 233* | accurately segmenting tumors from MRI* images. Two* | © 2024 Elsevier LtdResearch on breast cancer

关键词： Convolutional Neural Network | DeepLabV3+ | Dynamic Contrast Enhanced Magnetic Resonance Imaging | Semantic Segmentation

摘要： resonance imaging (DCE-MRI) has shown great promise in | results on private and public DCE-MRI* datasets* | Automated breast tumor segmentation on the | basis of dynamic contrast-enhancement magnetic | clinical practice, particularly for identifying the

关键词： Image segmentation | Transformers | Prototypes | Breast tumors | Tumors | Decoding | Medical diagnostic imaging

摘要：. Extensive experiments on two breast DCE-MRI* datasets* | Segmenting breast tumors from dynamic contrast | -enhanced magnetic resonance images is a critical step in | the early detection and diagnosis of breast cancer | . However, this task becomes significantly more

关键词： contrastive learning | magnetic resonance imaging | multiscale strategy | tumor segmentation

摘要：-enhanced (DCE) magnetic resonance imaging (MRI) and tumor | cancers who underwent DCE* MRI including ultrafast* | enhancement (TTE) derived from ultrafast DCE* sequence were* | delayed phase) derived from the conventional DCE | kinetic patterns from the conventional DCE* sequence and*

关键词： Breast cancer | Magnetic resonance imaging | Ultrafast | TILs | Prognosis

摘要： concentration curves, simulated DCE-MRI* data, and real* | the acquired DCE-MRI* data. Additionally, spatial* | PurposeFocused ultrasound-induced blood-brain | barrier (BBB) opening is a promising method for | neurotherapeutic delivery. The standard for quantifying induced

关键词： BBB opening | DCE-MRI | focused ultrasound | perfusion analysis | simulation | DCE‐MRI

摘要： (DCE-MRI) is a challenging task owing to the | Characterization of breast parenchyma in | dynamic contrast-enhanced magnetic resonance imaging | complexity of underlying tissue structures. Existing | quantitative approaches, like radiomics and deep learning

关键词： Topology | DCE-MRI | Persistent homology | Spatial attention | 3D CNN | pCR prediction

摘要： the relative contribution of DCE* MRI in a patient* | Background: Dynamic contrast-enhanced (DCE | ) magnetic resonance imaging (MRI) in the current Prostate | multi-parametric MRI* (mpMRI). Scans included T2WI, DWI* | , and DCE* imaging. Lesion conspicuity was scored on a*

关键词： ADC | conspicuity | DCE | DWI | MRI | PI-RADS | prostate cancer | T2W

摘要： analyzed. All patients underwent preoperative breast MRI | dynamic contrast-enhanced MRI, and diffusion- weighted | Rationale and Objectives: This study aimed to | develop predictive models based on conventional magnetic | resonance imaging (cMRI) and radiomics features for

关键词： Breast cancer | Human epidermal growth factor receptor 2 | DCE-MRI | Radiomics

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： magnetic resonance imaging (DCE‐MRI) and Digital | both imaging techniques. DCE‐MRI provides a non | . DCE‐MRI shows promise for cancer‐related | insights and therapeutic applications for both DCE‐MRI | applications, offering advantages over conventional MRI by

关键词： DSA | bone | DCE‐MRI | hypervascular metastases | spine

摘要： imaging (DCE-MRI) is crucial for the diagnosis and | network. We evaluate our method on an in-house DCE-MRI | Accurate segmentation of cancerous regions in | breast dynamic contrast-enhanced magnetic resonance | prognosis assessment of high-risk breast cancer. Deep

关键词： Breast cancer | DCE-MRI | Weakly-supervised segmentation | Bounding box annotation | Knowledge distillation

摘要： Resonance Imaging (DCE-MRI) is an effective technique for | for breast DCE-MRI images. The proposed technique is | tested on a QIN Breast DCE-MRI dataset comprising 233 | accurately segmenting tumors from MRI images. Two | © 2024 Elsevier LtdResearch on breast cancer

关键词： Convolutional Neural Network | DeepLabV3+ | Dynamic Contrast Enhanced Magnetic Resonance Imaging | Semantic Segmentation

摘要： resonance imaging (DCE-MRI) has shown great promise in | results on private and public DCE-MRI datasets | Automated breast tumor segmentation on the | basis of dynamic contrast-enhancement magnetic | clinical practice, particularly for identifying the

关键词： Image segmentation | Transformers | Prototypes | Breast tumors | Tumors | Decoding | Medical diagnostic imaging

摘要：. Extensive experiments on two breast DCE-MRI datasets | Segmenting breast tumors from dynamic contrast | -enhanced magnetic resonance images is a critical step in | the early detection and diagnosis of breast cancer | . However, this task becomes significantly more

关键词： contrastive learning | magnetic resonance imaging | multiscale strategy | tumor segmentation

摘要：-enhanced (DCE) magnetic resonance imaging (MRI) and tumor | cancers who underwent DCE MRI including ultrafast | enhancement (TTE) derived from ultrafast DCE sequence were | delayed phase) derived from the conventional DCE | kinetic patterns from the conventional DCE sequence and

关键词： Breast cancer | Magnetic resonance imaging | Ultrafast | TILs | Prognosis

摘要： concentration curves, simulated DCE-MRI data, and real | the acquired DCE-MRI data. Additionally, spatial | PurposeFocused ultrasound-induced blood-brain | barrier (BBB) opening is a promising method for | neurotherapeutic delivery. The standard for quantifying induced

关键词： BBB opening | DCE-MRI | focused ultrasound | perfusion analysis | simulation | DCE‐MRI

摘要： (DCE-MRI) is a challenging task owing to the | Characterization of breast parenchyma in | dynamic contrast-enhanced magnetic resonance imaging | complexity of underlying tissue structures. Existing | quantitative approaches, like radiomics and deep learning

关键词： Topology | DCE-MRI | Persistent homology | Spatial attention | 3D CNN | pCR prediction

摘要： the relative contribution of DCE MRI in a patient | Background: Dynamic contrast-enhanced (DCE | ) magnetic resonance imaging (MRI) in the current Prostate | multi-parametric MRI (mpMRI). Scans included T2WI, DWI | , and DCE imaging. Lesion conspicuity was scored on a

关键词： ADC | conspicuity | DCE | DWI | MRI | PI-RADS | prostate cancer | T2W

摘要： analyzed. All patients underwent preoperative breast MRI | dynamic contrast-enhanced MRI, and diffusion- weighted | Rationale and Objectives: This study aimed to | develop predictive models based on conventional magnetic | resonance imaging (cMRI) and radiomics features for

关键词： Breast cancer | Human epidermal growth factor receptor 2 | DCE-MRI | Radiomics

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： magnetic resonance imaging (DCE‐MRI) and Digital | both imaging techniques. DCE‐MRI* provides a non* | . DCE‐MRI* shows promise for cancer‐related* | insights and therapeutic applications for both DCE‐MRI | applications, offering advantages over conventional MRI* by*

摘要： Resonance Imaging (DCE-MRI) is an effective technique for | for breast DCE-MRI* images. The proposed technique is* | tested on a QIN Breast DCE-MRI* dataset comprising 233* | accurately segmenting tumors from MRI* images. Two* | © 2024 Elsevier LtdResearch on breast cancer

摘要： resonance imaging (DCE-MRI) has shown great promise in | results on private and public DCE-MRI* datasets* | Automated breast tumor segmentation on the | basis of dynamic contrast-enhancement magnetic | clinical practice, particularly for identifying the

摘要：. Extensive experiments on two breast DCE-MRI* datasets* | Segmenting breast tumors from dynamic contrast | -enhanced magnetic resonance images is a critical step in | the early detection and diagnosis of breast cancer | . However, this task becomes significantly more

摘要：-enhanced (DCE) magnetic resonance imaging (MRI) and tumor | cancers who underwent DCE* MRI including ultrafast* | enhancement (TTE) derived from ultrafast DCE* sequence were* | delayed phase) derived from the conventional DCE | kinetic patterns from the conventional DCE* sequence and*

摘要： concentration curves, simulated DCE-MRI* data, and real* | the acquired DCE-MRI* data. Additionally, spatial* | PurposeFocused ultrasound-induced blood-brain | barrier (BBB) opening is a promising method for | neurotherapeutic delivery. The standard for quantifying induced

摘要： the relative contribution of DCE* MRI in a patient* | Background: Dynamic contrast-enhanced (DCE | ) magnetic resonance imaging (MRI) in the current Prostate | multi-parametric MRI* (mpMRI). Scans included T2WI, DWI* | , and DCE* imaging. Lesion conspicuity was scored on a*