Discrimination of malignant and benign breast masses using automatic segmentation and features extracted from dynamic contrast-enhanced and diffusion-weighted MRI.

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Discrimination of malignant and benign breast masses using automatic segmentation and features extracted from dynamic contrast-enhanced and diffusion-weighted MRI.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

@zh-cn

2018年学术文章

@zh-hans

2018年学术文章

@zh-my

2018年学术文章

@zh-sg

2018年學術文章

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2018年學術文章

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name

Discrimination of malignant an ...... ed and diffusion-weighted MRI.

@en

Discrimination of malignant an ...... ed and diffusion-weighted MRI.

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type

Item

label

Discrimination of malignant an ...... ed and diffusion-weighted MRI.

@en

Discrimination of malignant an ...... ed and diffusion-weighted MRI.

@nl

prefLabel

Discrimination of malignant an ...... ed and diffusion-weighted MRI.

@en

Discrimination of malignant an ...... ed and diffusion-weighted MRI.

@nl

P1476

Discrimination of malignant an ...... ced and diffusion-weighted MRI

@en

P2093

Fei Xie

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Li Li

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Lizhi Liu

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Xinhua Jiang

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Yanxia Peng

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P2860

Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Multiple SVM-RFE for gene selection in cancer classification with expression data.

Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.

MRI of breast tumors.

Dynamic contrast-enhanced MRI of the breast: quantitative method for kinetic curve type assessment.

Effect of breast magnetic resonance imaging on the clinical management of women with early-stage breast carcinoma.

Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics.

In vivo assessment of ductal carcinoma in situ grade: a model incorporating dynamic contrast-enhanced and diffusion-weighted breast MR imaging parameters.

Computerized segmentation and characterization of breast lesions in dynamic contrast-enhanced MR images using fuzzy c-means clustering and snake algorithm

P304

1521-1528

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scholarly article

P356

10.3892/OL.2018.8805

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P433

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P478

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Hongmin Cai

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2018-05-24T00:00:00Z

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P698

30008832

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P921

automation

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6036451

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