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BrEaST IA
an industry-leading approach to medical data collection, annotation and management
and extensive knowledge base
to make eXplanatory Intelligence Augmentation
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Solutions
an industry-leading approach to Intelligence Augmentation
Medical data curation and annotation (access for authorized users)
Education: E-ncyclopedia of sonomammography (under construction)
Research
Supported by human intelligence and a bit of magic*
* - Any sufficiently advanced technology is indistinguishable from magic - Arthur C. Clarke
Curation of benchmark data for explainable machine learning
🔗Curated benchmark dataset for ultrasound based breast lesion analysis, Sci Data
,
ISSN: 2052-4463, DOI: 10.1038/s41597-024-02984-z,
🔗 Cancer Imaging Archive
Number of data curated
(since June 2022)
0
Cases
0
Images and movies
0
Biopsies
0
Coffies
Verification of data quality and reliability
🔗 Letter to the Editor. Re: “[Dataset of breast ultrasound images” by W. Al-Dhabyani, M. Gomaa, H. Khaled & A. Fahmy, Data in Brief, 2020, 28, 104863]”, Data in Brief
,
ISSN: 2352-3409, DOI: 10.1016/j.dib.2023.109247
🔗 Comment on: CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images by J. Tasnim and M. K. Hasan, (PMB 69 015018)
Data and algorithm quality benchmarks
Biomedical data analysis and modeling
🔗 Derivation of acoustical streaming equations for nonlinear and dispersive fluids
, Ultrasonics,
ISSN: 0041-624X, DOI: 10.1016/j.ultras.2023.107000,
🔗 Mutually Orthogonal Golay Complementary Sequences in Medical Ultrasound Diagnostics. Experimental Study
, Archives of Acoustics,
ISSN: 0137-5075, DOI: 10.24425/aoa.2022.142013
Team
have written about us
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scientist of the future 2022
engineer4science 2023
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