593 Open source projects that are alternatives of or similar to Medical-Names-Corpus

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Image-based COVID-19 diagnosis. Links to software, data, and other resources.

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We present a list of languages with their codes, families, regions and etc. We also present a list of multi-lingual corpora (with urls).

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Julia package for reading and writing DICOM (Digital Imaging and Communications in Medicine) files

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C++11 and boost based implementation of the DICOM standard.

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A beautiful 😍 covid-19 app with self - assessment and more.

Repository for the Georgetown University Multilayer Corpus (GUM)

A list of tools, papers and code related to Deepfake Detection.

Medical action ontology

No description or website provided.

best effort anonymization for medical images using python

A Large Dataset of Historical Japanese Documents with Complex Layouts

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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Text conversion tool (from e.g. Word, HTML, txt) to corpus formats TEI or FoLiA)

A repo listing known open source voice tools, ordered by where they sit in the voice stack

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CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

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总结了一些可以用作聊天机器人训练实作的文字语聊，包含中英文不同语言

FoLiA: Format for Linguistic Annotation - FoLiA is a rich XML-based annotation format for the representation of language resources (including corpora) with linguistic annotations. A wide variety of linguistic annotations are supported, making FoLiA a useful format for NLP tasks and data interchange. Note that the actual Python library for proces…

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Masked face recognition focuses on identifying people using their facial features while they are wearing masks. We introduce benchmarks on face verification based on masked face images for the development of COVID-safe protocols in airports.

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🚦 后续更新发布到 Releases 不再提交 AMO 扩展市场

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Build a deep learning model for predicting the named entities from text.