Spark NLP for Healthcare 3.1 improves the accuracy, functionality, and ease of use of the library’s data de-identification capabilities, whose are crutial for natural language processing in healthcare. All improvements...
Medical imaging challenges were discussed in 2 previous blogs. The first blog gave an introductory brief about medical imaging, its different modalities, standards used (DICOM), efficiency measures, and what is...
One kind of noisy data that healthcare data scientists deal with is scanned documents and images: from PDF attachments of lab results, referrals, or genetic testing to DICOM files with...
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