Back to search

Article

MedImg: a database for public medical image integration

2024-04-20

Abstract excerpt

The advancements of deep learning algorithms in medical image analysis has garnered tremendous attention in recent years. Several studies have reported that the models have achieved and even surpassed human performance, whereas the translation of these models into clinical practice is still accompanied by various challenges. A major challenge is the large-scale and well characterized dataset to validate the genera...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9c73ef36-89a5-599d-95db-69a442a92f75
DOI
10.1101/2024.04.16.589768
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
MedImg: a database for public medical image integrationDOI 10.1101/2024.04.16.589768
Select a neighboring publication to make it the new centre.