April 30, 2024, 4:47 a.m. | Lie Cai, Andre Pfob

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.17878v1 Announce Type: cross
Abstract: Background: Using artificial intelligence (AI) techniques for computational medical image analysis has shown promising results. However, colored images are often not readily available for AI analysis because of different coloring thresholds used across centers and physicians as well as the removal of clinical annotations. We aimed to develop an open-source tool that can adapt different color thresholds of HSV-colored medical images and remove annotations with a simple click.
Materials and Methods: We built a function …

abstract ai analysis analysis artificial artificial intelligence arxiv color computational cs.cv cs.gr eess.iv however image images intelligence introduction medical practical processing results tool type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US