Project Details


AI Repository Project

WSIS Prizes Contest 2020 Nominee

Skin Cancer Classification Using Machine Learning & Image processing


Skin Cancer Classification

Description

ScVision is a mobile app that detects and classifies skin cancer using the latest cutting edge deep learning and image processing technologies, the app is very handy and simple to use for non-technical users. The only tool used for diagnoses is the mobile camera. ScVision main Objective is to increase the chance for early skin cancer detection, early detection of skin lesion cancer increase the chances of a successful treatment and saves a lot of people's lives. Further, skin lesion cancer can only be detected and classified by expertise in this field. However, the detection costs the patient time and money which ScVision saves! ScVision has an accuracy of 77%, hence seven out of ten (7/10) people's lives are saved by simply taking a photo with their mobile phone (a piece of cake right ?).
Additionally, ScVision is a link between the user (patient) and the doctor, where each patient have a continues communication with expert doctors across the world.

Project website

https://www.ScVision.com


Action lines related to this project
  • AL C7. E-health 2020
Sustainable development goals related to this project
  • Goal 3: Good health and well-being

Coverage
  • International

Status

Ongoing

Start date

January 2019

End date

Not set


Target beneficiary group(s)
  • Youth
  • Older persons
  • Women
  • Indigenous and nomadic peoples
  • People with disabilities
  • The poor
  • Refugees and internally displaced people
  • Adolescent
  • Adult
  • Children between 5 and 12
  • Children under 5
  • Elderly
  • New born
  • Pregnant women

WSIS values promotion

it shows how small ideas can affect the whole world and saves a lot of lives !


Entity name

Skin Cancer Vision (ScVision)

Entity country—type

Palestine Academia

Entity website

https://www.ScVision.com