Improving early detection of skin cancer using advanced image analysis.
Skin Lesion Archive and Annotation for Fusion and Earlier Skin Cancer Detection
This study is working on new ways to help doctors spot melanoma, a type of skin cancer, faster and more accurately by using advanced technology and expert advice, so patients can get the care they need without long waits.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Missouri University of Science & Technology NIH-funded |
| Lab location | 1 site (Rolla, United States) |
| Project ID | NIH-10796216 on NIH RePORTER |
What this research studies
This research focuses on enhancing the detection of melanoma, a type of skin cancer, by utilizing advanced image-processing tools and deep learning techniques. It aims to address delays in diagnosis caused by long wait times for specialist appointments and insufficient training for mid-level practitioners. By annotating critical skin lesion structures with the help of multiple experts, the project seeks to improve the accuracy of automated systems that can assist in identifying melanoma during both in-person and virtual consultations. The research will leverage a large archive of dermoscopy images to train these computational techniques effectively.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at risk for melanoma, particularly those with suspicious skin lesions.
Not a fit: Patients with non-skin-related health issues or those who do not have any skin lesions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of melanoma, potentially saving lives through timely intervention.
How similar studies have performed: Other research has shown promising results using similar advanced image analysis techniques for skin cancer detection, indicating a potential for success in this approach.
Where this research is happening
Rolla, United States
- Missouri University of Science & Technology — Rolla, United States (Active)
Researchers
- Principal investigator: Stanley, Ronald J — Missouri University of Science & Technology
- Study coordinator: Stanley, Ronald J
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.