AI solution for fast and accurate hemangioma detection on medical images, enabling early diagnosis and timely treatment.
THE PROBLEM
A hemangioma is a benign vascular tumor that can form on the skin, internal organs, or blood vessels. While most hemangiomas are harmless and often resolve without intervention, some may grow rapidly, causing cosmetic or functional issues depending on their location. For example, they can impair vision, breathing, or movement if they occur near critical areas. In rare cases, complications such as bleeding, ulceration, or compression of nearby organs can arise, necessitating careful monitoring and, in some situations, medical or surgical treatment.
HOW IT WORKS
Image Preprocessing: Review medical images (e.g., skin photos, ultrasound scans) to assess quality and identify artifacts.
AI algorithms enhance image quality by:
Stabilizing color to account for different lighting conditions (morning, noon, evening).
Removing noise and irrelevant background details.
Normalizing images for consistent analysis.
Skin Health Segmentation: Use advanced neural networks like U-Net or Mask R-CNN to accurately identify and separate healthy and affected skin areas, detect specific patterns (texture, color, size) related to hemangiomas for precise analysis.
Automatic hemangioma
segmentation
HOW IT WORKS
Progress Tracking
AI tracks the progress of hemangioma treatment over time by:
Measuring size differences: Checking if the affected area is getting smaller or larger over time.
Analyzing color variations: Looking at how the color of the skin improves during treatment.
Normalizing lighting: Making sure photos taken in different lighting conditions are easy to compare.
Comparing affected to healthy skin: Checking how the skin is healing by comparing it to nearby healthy areas.
AI-processed images showing the progress
of hemangioma treatment
SUMMARY
AI significantly enhances diagnostic accuracy by providing optimized, reliable images that help doctors track treatment progress over time. This innovation reduces the need for frequent in-person visits, ensures consistent monitoring, and supports data-driven decisions for personalized and effective treatment plans. The result is a faster, more precise, and patient-friendly approach to managing hemangiomas.
The results of effective hemangioma treatment