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Nishikawa, Robert
One or more keywords matched the following items that are connected to Nishikawa, Robert
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Concept Algorithms
Academic Article Density correction of peripheral breast tissue on digital mammograms.
Academic Article A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms.
Academic Article Automated segmentation of digitized mammograms.
Academic Article Radiologists' preferences for digital mammographic display. The International Digital Mammography Development Group.
Academic Article Optimization and FROC analysis of rule-based detection schemes using a multiobjective approach.
Academic Article Computer-aided detection and diagnosis of breast cancer.
Academic Article Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model.
Academic Article The use of a priori information in the detection of mammographic microcalcifications to improve their classification.
Academic Article A support vector machine approach for detection of microcalcifications.
Academic Article Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance.
Academic Article Relevance vector machine for automatic detection of clustered microcalcifications.
Academic Article Computerized mass detection for digital breast tomosynthesis directly from the projection images.
Academic Article The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks.
Academic Article A similarity learning approach to content-based image retrieval: application to digital mammography.
Academic Article Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise.
Academic Article Automated detection of mass lesions in dedicated breast CT: a preliminary study.
Academic Article A comparison study of image features between FFDM and film mammogram images.
Academic Article A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications.
Academic Article Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms.
Academic Article Retrieval boosted computer-aided diagnosis of clustered microcalcifications for breast cancer.
Academic Article Comparison of power spectra for tomosynthesis projections and reconstructed images.
Academic Article Detection of clustered microcalcifications using spatial point process modeling.
Academic Article CADe for early detection of breast cancer-current status and why we need to continue to explore new approaches.
Academic Article A computational model to generate simulated three-dimensional breast masses.
Academic Article Algorithmic scatter correction in dual-energy digital mammography.
Academic Article Analysis of perceived similarity between pairs of microcalcification clusters in mammograms.
Academic Article Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications.
Academic Article Optimal reconstruction and quantitative image features for computer-aided diagnosis tools for breast CT.
Academic Article Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography.
Academic Article Automated mammographic breast density estimation using a fully convolutional network.
Academic Article Locally adaptive decision in detection of clustered microcalcifications in mammograms.
Academic Article Importance of Better Human-Computer Interaction in the Era of Deep Learning: Mammography Computer-Aided Diagnosis as a Use Case.
Academic Article Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings.
Grant A new approach to optimizing and evaluating computer-aided detection schemes
Grant Quantitative Evaluation of Reconstruction Algorithms - Resubmission 01
Academic Article Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover.
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