久久亚洲国产成人影院-久久亚洲国产的中文-久久亚洲国产高清-久久亚洲国产精品-亚洲图片偷拍自拍-亚洲图色视频

USEUROPEAFRICAASIA 中文雙語Fran?ais
World
Home / World / Newsmakers

New app to use smartphone selfies to screen for pancreatic cancer

Xinhua | Updated: 2017-08-31 10:07

New app to use smartphone selfies to screen for pancreatic cancer

The app, BiliScreen, uses a smartphone camera, computer vision algorithms and machine learning tools to detect increased bilirubin levels in a person's sclera, or the white part of the eye. [Photo/VCG]

SAN FRANCISCO - University of Washington (UW) researchers are developing a software application, or app, to allow people to screen for pancreatic cancer and other diseases by snapping a smartphone selfie.

With a five-year survival rate of 9 percent, pancreatic cancer has one of the worst prognoses in part because there are no telltale symptoms or non-invasive screening tools to catch a tumor before it spreads.

The app, BiliScreen, uses a smartphone camera, computer vision algorithms and machine learning tools to detect increased bilirubin levels in a person's sclera, or the white part of the eye.

One of the earliest symptoms of pancreatic cancer, as well as other diseases, is jaundice, a yellow discoloration of the skin and eyes caused by a buildup of bilirubin in the blood. The blood test currently in use to measure bilirubin levels is typically not administered to adults unless there is reason for concern.

"The problem with pancreatic cancer is that by the time you're symptomatic, it's frequently too late," Alex Mariakakis, a doctoral student at UW's Paul G. Allen School of Computer Science & Engineering, was quoted as saying in a news release. The ability to detect signs of jaundice when bilirubin levels are minimally elevated could enable an entirely new screening program for at-risk individuals.

"The hope is that if people can do this simple test once a month - in the privacy of their own homes - some might catch the disease early enough to undergo treatment that could save their lives," explained Mariakakis, who as lead author of a paper will present the app at Ubicomp 2017, the Association for Computing Machinery's International Joint Conference on Pervasive and Ubiquitous Computing, in Maui, Hawaii, on September 13.

In adults, the whites of the eyes are more sensitive than skin to changes in bilirubin levels, which can be an early warning sign for pancreatic cancer, hepatitis or the generally harmless Gilbert's syndrome. Unlike skin color, changes in the sclera are more consistent across all races and ethnicities. Yet by the time people notice the yellowish discoloration in the sclera, bilirubin levels are already well past cause for concern.

Wondering if computer vision and machine learning tools could detect those color changes in the eye before humans can see them, the UW team built BiliScreen on earlier work from the university's Ubiquitous Computing Lab, which previously developed BiliCam, a smartphone app that screens for newborn jaundice by taking a picture of a baby's skin. A recent study in the journal Pediatrics showed BiliCam provided accurate estimates of bilirubin levels in 530 infants.

The new app uses a smartphone's built-in camera and flash to collect pictures of a person's eye as they snap a selfie, then calculates the color information from the sclera and correlates it with bilirubin levels using machine learning algorithms.

To account for different lighting conditions, the team tested BiliScreen with two different accessories: paper glasses printed with colored squares to help calibrate color and a 3-D printed box that blocks out ambient lighting. Using the app with the box accessory led to slightly better results.

In an initial clinical study of 70 people, BiliScreen correctly identified cases of concern 89.7 percent of the time.

Most Viewed in 24 Hours
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
主站蜘蛛池模板: 成年午夜性爽快免费视频不卡 | 九九99靖品 | 国内国外精品一区二区 | 国产性自爱拍偷在在线播放 | 国产精品区在线12p 国产精品人成 | 毛片手机在线 | 国产成人mv 在线播放 | 国产a级午夜毛片 | 国产精品久久久久影院色老大 | 毛片大全在线观看 | av片免费大全在线观看不卡 | 99视频免费看 | 日本在线视频免费看 | 欧美日韩亚洲综合久久久 | 看全色黄大色黄大片毛片 | 亚洲精品免费网站 | 亚洲加勒比久久88色综合一区 | 国产人成精品综合欧美成人 | 中午字幕在线观看 | 欧美日韩精品在线视频 | 国产免费午夜a无码v视频 | 特黄特黄黄色大片 | 成人区精品一区二区不卡亚洲 | 真实国产乱子伦高清 | 日本一区三区二区三区四区 | 香港三级日本三级妇人三级 | 亚洲自拍中文 | 亚洲日本aⅴ片在线观看香蕉 | 午夜爽视频 | 国产一级aaaaa毛片欧美 | 在线国产高清 | 收集最新中文国产中文字幕 | 亚洲欧美一区二区三区在线 | 99久久免费精品国产免费高清 | 日韩精品无码一区二区三区 | 日韩一品在线播放视频一品免费 | 久久国产精品免费视频 | 国产精品欧美一区二区三区不卡 | 香蕉福利久久福利久久香蕉 | 国产91香蕉 | 成年人在线看片 |