What is Soma Skin Cancer Classifier?
Upload an image of a skin lesion to classify it as benign or malignant. The app provides prediction probabilities and a heat map showing which parts of the image were most influential the models decision.
Problem
Users need to assess skin lesions for potential cancer through manual diagnosis by dermatologists, which can be time-consuming, costly, and inaccessible for some.
Solution
A mobile app that uses AI-driven classification of skin lesions to provide instant predictions (benign/malignant) with probability scores and a heat map visualization of influential image areas.
Customers
Individuals with suspicious skin lesions, general physicians, and people in remote areas lacking immediate dermatologist access.
Unique Features
Heat map highlighting lesion features influencing predictions, lightweight design for quick analysis, and probabilistic results for informed decision-making.
User Comments
Helpful initial screening tool
Easy to use interface
Heat map adds transparency
Not a replacement for professional diagnosis
Requests for multi-language support
Traction
Launched on ProductHunt (specific metrics unavailable), positioned in the AI healthcare market valued at $22.45 billion in 2023 (Grand View Research).
Market Size
The global AI in healthcare market is projected to reach $187.95 billion by 2030, with dermatology AI tools growing rapidly (Grand View Research).
