在皮膚「色素影像研究」上又有了新的發表
很榮幸我們在皮膚「色素影像研究」上又有了新的發表,這次的主題是一個長達一年的產學合作!
我們與遠京Myguard的工程師們共同研究了一種新的演算系統,以提升皮膚色素判斷的準確性。
在這篇名為《A Comparative Study of an Advanced Skin Imaging System in Diagnosing Facial Pigmentary and Inflammatory Conditions》的文章中,我們對比了V-system、O-system與MASI score的相關性,並收集了超過60人的臉部影像進行分析探討。結果顯示,O-System分析演算法與MASI的相關性更高,且能精準分析局部病灶,更貼近臨床用途。
We are thrilled to share our new publication on "Pigmentation Imaging Research" , a year-long collaboration between academia and industry!
We teamed up with engineers from Myguard to develop a new algorithm system to enhance the accuracy of pigmentation assessment.
In this article titled "A Comparative Study of an Advanced Skin Imaging System in Diagnosing Facial Pigmentary and Inflammatory Conditions," we compared the correlation of V-system, O-system, and MASI score, analyzing facial images of over 60 individuals. The results showed that the O-System algorithm had a higher correlation with MASI and could precisely analyze localized lesions, making it more suitable for clinical use.
除了臨床以外,能夠參與這項新技術的研發,並為醫學進步盡一份綿力,感到無比的開心。
感謝大家的支持,特別感謝團隊黃郁紋醫師、賴怡靜護理師、遠京工程師Walter Arkestejin的參與,讓我們一起期待更多新突破
Participating in the development of this new technology and contributing to medical advancements brings us immense joy and pride!
Thank you all for your support. Let's look forward to more breakthroughs together!
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