Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Overview of attention for article published in European Radiology Experimental, April 2019

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Among the highest-scoring outputs from this source (#41 of 205)
Good Attention Score compared to outputs of the same age (68th percentile)
High Attention Score compared to outputs of the same age and source (88th percentile)

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Summary X Dimensions citations

So far, Dimensions has found 28 publications that cite this research output.

28

The most recent citing publications are shown below. View all 28 publications that cite this research output on Dimensions.

Deep learning-based tumor segmentation and classification in breast MRI with 3TP method

Article in Biomedical Signal Processing and Control (July 2024)

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Article in Journal of Magnetic Resonance Imaging (February 2024)

AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches

Article in Journal of Magnetic Resonance Imaging (January 2024)