search:dermoscreen相關網頁資料

- www.uh.edu
  
  An iPhone App Offers Quick and Inexpensive Melanoma Screening ...
  
  2014年5月6日 - A University of Houston professor created the app, called DermoScreen, which is now being evaluated for further testing at the University of ...
  
  2025-10-05
  
  瀏覽：447
- www.dailymail.co.uk
  
  DermoScreen app detects skin cancer and could be more accurate ...
  
  2014年5月8日 - The DermoScreen app, developed in Houston, works with a dermoscope attachment. The lens scans unusual looking lesions and highlights ...
  
  2025-10-03
  
  瀏覽：417

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DermoScreen iPhone App Can Detect Skin Cancer - iClarified

日期：2025-09-29

2014年5月9日 - George Zouridakis, a professor at the University of Houston, has developed DermoScreen, an iPhone app that can be used to take a photo of a ......

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DermoScreen iPhone App Can Detect Skin Cancer - iClarified

日期：2025-10-04

George Zouridakis, a professor at the University of Houston, has developed DermoScreen, an iPhone app that can be used to take a photo of a suspicious mole ......

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DermoScreen: This new iPhone app can tell if you have skin cancer

日期：2025-09-29

2014年5月12日 - DermoScreen, a new app from the University of Houston, can detect if you have skin cancer — for a (steep) price....

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New iPhone App Dermoscreen Tests For Skin Cancer, Has 85 ...

日期：2025-10-02

New iPhone App Dermoscreen Tests For Skin Cancer, Has 85% Accuracy Rate SUBSCRIBE ......

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DermoScreen: A Smartphone App to Diagnose Skin Cancer With 85 ...

日期：2025-10-03

Dermoscreen can make fast and cheaper cancer diagnosis for those who can't afford expensive tests. Professor George Zouridakis is working on the project ......

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Professor creates iPhone app capable of screening for skin cancer ...

日期：2025-09-30

2014年5月8日 - DermoScreen, as the app is called, is still undergoing testing, but if it is eventually approved and released, it could allow patients to be quickly ......

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App called DermoScreen tells if you have cancer by analyzing a ...

日期：2025-09-29

2014年5月8日 - New app called DermoScreen could save us millions of dollars as it uses a picture on your smartphone to predict with 85% accuracy if a lesion ......

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