18065207. SIMULATING PROGRESSION OF SKIN CONDITIONS BASED ON MACHINE LEARNING simplified abstract (International Business Machines Corporation)
Contents
SIMULATING PROGRESSION OF SKIN CONDITIONS BASED ON MACHINE LEARNING
Organization Name
International Business Machines Corporation
Inventor(s)
Yuan Yuan Ding of Shanghai (CN)
Yi Chen Zhong of Shanghai (CN)
Yang Liu of Zhong Xin City (CN)
SIMULATING PROGRESSION OF SKIN CONDITIONS BASED ON MACHINE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18065207 titled 'SIMULATING PROGRESSION OF SKIN CONDITIONS BASED ON MACHINE LEARNING
Simplified Explanation: The patent application describes a technique for visualizing skin conditions using machine learning. It involves retrieving a color image of facial skin, generating a monochromatic version, segmenting skin condition instances based on a machine learning model, filtering them using a polarized version, and generating simulation images.
Key Features and Innovation:
- Retrieval of color image of facial skin
- Generation of monochromatic version for segmentation
- Segmentation of skin condition instances using machine learning model
- Filtering of instances based on polarized version
- Generation of simulation images based on filtered instances
Potential Applications: This technology can be applied in dermatology for diagnosing skin conditions, in cosmetic industry for analyzing skin health, and in skincare products development for testing efficacy.
Problems Solved: This technology addresses the challenges of accurately identifying and visualizing skin conditions, providing a more efficient and effective way of analyzing skin health.
Benefits:
- Improved visualization of skin conditions
- Enhanced accuracy in diagnosing skin issues
- Efficient analysis of skin health
- Potential for personalized skincare solutions
Commercial Applications: The technology can be utilized in dermatology clinics, cosmetic companies, skincare research facilities, and beauty product development companies to enhance their services and products.
Prior Art: Prior research in the field of dermatology imaging techniques and machine learning applications in healthcare can provide insights into similar technologies.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for image segmentation and analysis in the field of dermatology.
Questions about Skin Condition Visualization using Machine Learning: 1. How does this technology improve the accuracy of diagnosing skin conditions? 2. What are the potential commercial applications of this innovation in the skincare industry?
Original Abstract Submitted
Techniques for skin-condition visualization using machine learning. A color image depicting facial skin of a subject is retrieved. A monochromatic version of the color image is generated. Candidate instances of one or more skin conditions are segmented from the monochromatic version based on a segmentation threshold and using a machine learning model. A polarized version of the color image is generated, and based on the polarized version, the candidate instances are filtered. One or more simulation images are generated based on the filtered candidate instances.
