AI tool detection of potential melanoma metastases
Early and precise detection of lung lesions in CT scans is critical for diagnosing melanoma metastases. AI segmentation technique enhances accuracy and efficiency.
Challenge
The client required a reliable, automated method to detect and characterize lung lesions while accounting for the unique properties of lung CT scans.
Approach
- Developed segmentation models optimized for lung CT scans.
- Utilized SOTA computer vision techniques for enhanced accuracy.
Results
- Automated lesion detection, improving melanoma metastasis identification.
- Enabled quantification of radiomic features for lesion characterization.
This AI supported approach improves early melanoma detection, supporting timely and effective treatment decisions.
Expert Contribution
Reviewed by: Dr. Krzysztof Kolmus, PhD
Role: Lead Bioinformatician, AI‑Driven Drug Discovery
Expertise: Biomarker discovery, target identification, multi‑omics data analysis, translational bioinformatics
