After 3 months, the 2021 "Miying" Medical Artificial Intelligence Algorithm Competition, which attracted much attention from the industry, recently come to an end. MeituEve Lab won the championship in the category of multi-disease assisted diagnosis for fundus color photos, expanding the application of AI technologies.

MeituEve Lab won the championship in a category of the "Miying" Medical Artificial Intelligence Algorithm Competition

The 2021 "Miying" Medical Artificial Intelligence Algorithm Competition, jointly initiated by Tencent and a number of medical institutions and university scientific research units, aimed to explore new ideas and solutions for many clinical medical problems. The competition attracted a number of top universities and scientific research institutions from the fields of computer science, artificial intelligence, biomedicine, and more from domestic and international institutions, with a total of over 400 teams, composed of nearly 700 people, competing around the integration of artificial intelligence technology and clinical medicine.

The "Tailless eye" algorithm R&D team from MeituEve Lab used AI to automatically classify five optical diseases, including glaucoma, shortening the screening and diagnosis period of eye diseases. Its performance won first place in three dimensions: clinical practicality, algorithm innovation, and algorithm performance and stood out from more than 100 teams to win the championship in the track of Multi-Disease Assisted Diagnosis for Fundus Color Photos.

In addition to winning the technical competition, MeituEve Lab also recently published a collaborative paper titled "Eye Aging Quantitative Analysis and Solutions Based on Deep Learning" alongside Shanghai UNISKIN at the annual meeting of dermatologists of the Chinese Medical Doctor Association and the National Conference on Cosmetic Dermatology. The study utilizes deep learning methods to quantify ocular aging and obtain age-related biologically meaningful ocular aging phenotypes. At the same time, according to the different dimensions of eye aging, multi-target eye products that are designed as eye aging solutions were tested, and the effectiveness of the products were verified in the paper.  

Continuously improving the professionalism of the algorithm and exploring broader application scenarios

In 2017, Meitu established the MeituEve Lab based on the work of the Meitu Imaging & Vision Lab (MT Lab). MeituEve Lab has since developed in-depth skin imaging algorithms that conform to strict medical standards, gradually improving the accuracy of AI skin detection. MeituEve Lab has won a number of international competitions, such as the ECCV 2018 Perceptual Image Enhancement and the ISIC 2018 Skin Lesion Segmentation Task. It currently leads the industry in a number of fields, such as image enhancement and image recognition.

Supported by its industry-leading imaging technology and AI skin measurement algorithms, MeituEve Lab has continuously promoted the innovation and upgrade of Meitu's scientific skin analysis products. MeituEve uses scientific, data-based methods to enable users to accurately understand the condition of their skin.

At the 26th China Beauty Expo (CBE) this year, MeituEve's pioneering 3D & 2D skin analysis system was released, attracting attention from the industry. This innovative achievement helps users detect skin problems with high precision. The system adopts 3D structured light to complete high-precision image acquisition and skin structure reconstruction, significantly improving the accuracy of detection results. The technical accumulation of MeituEve Lab makes it able to objectively detect the degree of skin aging, and the continuously-upgraded algorithm provides long-term data services and technical support.

The rapid development of cutting-edge technologies, such as AI, has provided innovative ideas for the transformation and upgrading of various fields, and the application of AI has brought diverse scenarios for technological innovation. MeituEve Lab focuses on the actual needs of the industry, continues to improve the professionalism of its imaging algorithms, leverages its technological advantages to explore AI application scenarios in multiple fields, and works with many scientific research institutions to provide impetus for the integrated development of AI technology.