Kakao Brain Unveils Labeler Project Exclusively for Medical Image preliminary report
SEOUL, South Korea, Feb. 27, 2024 /PRNewswire/ -- On the 16th, Kakao Brain released a medical image labeler project on GitHub, capable of diagnosing specific diseases from chest X-ray image draft readings.
- SEOUL, South Korea, Feb. 27, 2024 /PRNewswire/ -- On the 16th, Kakao Brain released a medical image labeler project on GitHub, capable of diagnosing specific diseases from chest X-ray image draft readings.
- Aiming to contribute to the improvement of medical diagnoses, Kakao Brain initiated research on a labeler project that extracts specific disease names more accurately and efficiently than models previously released by other companies.
- Kakao Brain unveiled the Labeler project on GitHub and published a paper titled 'CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling' on arXiv, an open-access archive.
- Kim Il-du, CEO of Kakao Brain, stated, "We plan to release a test set we created so that many researchers can use Kakao Brain's Labeler project as a benchmark for testing."