Back

ChestX-ray14

ChestX-ray14

ChestX-ray14

ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text radiological reports via NLP techniques. It expands on ChestX-ray8 by adding six additional thorax diseases: Edema, Emphysema, Fibrosis, Pleural Thickening and Hernia.

Try V7 now
->
View author website
Task
Medical Images
Annotation Types
Bounding Boxes
112120
Items
30805
Classes
112120
Labels
Models using this dataset
Last updated on 
October 31, 2023
Licensed under 
Unknown
Blog
Learn about machine learning and latests advancements in AI.
Read More
Playbooks
Discover how to optimize AI for your business.
Learn more
Case Studies
Discover how V7 empowers AI industry greats.
Explore now
Webinars
Explore AI topics, gain insights, and learn from experts.
Watch now