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De-Identification Blog

The new release comes with a redesign of important models and improved performance on legal NLP tasks.

Blog

Redesign of embedding models Recent developments in NLP rely on vector representations of text, commonly known as embeddings. To support the utilization, training, and fine-tuning of models for the legal...

This post will explore how Visual NLP can manipulate pixel and overlay data within DICOM images. In the following examples, we will work with these transformers: DicomToImageV3, responsible for extracting...

Start to work with DICOM in Visual NLP In this post, we are deeply diving into working with metadata using Visual NLP. We are going to make use of Visual...

Introduction In the world of healthcare and medical research, the ability to access and share medical images is crucial for diagnosis, treatment, and scientific investigation. However, these images often contain...

The latest version of the library fixed some relevant errors on the deidentification pipelines on financial documents. With the fixes, the library is fully compatible with newer versions of Spark....
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