Search Results - "Barufaldi, B."
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Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials
Published in Pattern recognition (01-09-2024)“…The adoption of artificial intelligence (AI) in medical imaging requires careful evaluation of machine-learning algorithms. We propose the use of a “deep…”
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Journal Article -
2
Comparison of radiation dose between 2D digital stereotactic versus digital breast tomosynthesis-guided breast biopsies
Published in European journal of radiology (01-01-2021)“…Use of digital breast tomosynthesis (DBT) in breast imaging has necessitated DBT-guided biopsy, however, a single DBT acquisition may result in a greater…”
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Journal Article -
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Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets
Published in Current biology (08-03-2021)“…Advances in 3D imaging technology are transforming how radiologists search for cancer1,2 and how security officers scrutinize baggage for dangerous objects.3…”
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Journal Article -
4
Attenuation correction in a combined, single-gantry breast PET-Tomosynthesis scanner
Published in 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) (01-11-2018)“…We are currently building a breast PET-Tomosynthesis scanner integrated in a single gantry providing spatially co-registered 3D PET-Tomosynthesis images. We…”
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Conference Proceeding -
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Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms
Published 23-05-2024“…Model observers are computational tools to evaluate and optimize task-based medical image quality. Linear model observers, such as the Channelized Hotelling…”
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Journal Article -
6
Text Classification by Literary Period Using PPM-C Data Compression
Published in 2009 Seventh Brazilian Symposium in Information and Human Language Technology (01-09-2009)“…Methods and techniques for data compression have been used for pattern recognition, including automatic text classification. The performance of the Prediction…”
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Conference Proceeding