Large Language Models for Extraction of Structured Data in Pathology

This repository contains a comprehensive suite of scripts designed to extract, process, analyze, and visualize structured data from pathology reports. The workflow utilizes various models and APIs, including OpenAI's GPT-4, Hugging Face's LLaMA models, and 4-bit quantized model versions provided by Ollama. Additionally, R scripts are provided for detailed statistical analysis and visualization of the extracted data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13685449
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Large Language Models for Extraction of Structured Data in Pathology

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Large Language Models for Extraction of Structured Data in Pathology

article en

Abstract

This repository contains a comprehensive suite of scripts designed to extract, process, analyze, and visualize structured data from pathology reports. The workflow utilizes various models and APIs, including OpenAI's GPT-4, Hugging Face's LLaMA models, and 4-bit quantized model versions provided by Ollama. Additionally, R scripts are provided for detailed statistical analysis and visualization of the extracted data.

Zenodo (CERN European Organization for Nuclear Research)
University Hospital Cologne (DE)
Openalex Percentile: Top 65%
AI in cancer detection
DOIOpen Access PDFOpenAlex
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Large Language Models for Extraction of Structured Data in Pathology · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS