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Skin Cancer Image Search

Find pictures of skin cancer online that look most like your mole or skin spot.
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Skin Cancer Image Search
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Introduction

Skin Cancer Image Search is a Chrome extension developed by Opticom Data Research. It allows users to find visually similar skin cancer images on the web by comparing them to their own moles or skin lesions. With a simple click, the extension provides links to skin cancer (and non-cancer) images that closely resemble the user's own mole, helping with visual comparison and potential early detection.

Feature

Advanced Image Analysis

The software uses sophisticated algorithms to analyze similarities between the user's mole image and hundreds of skin lesion images available on the Internet. This feature enables precise matching and comparison.

Extensive Database

Skin Cancer Image Search features a comprehensive database containing hundreds of images from 16 different skin cancer websites and databases. This extensive collection ensures a wide range of comparisons for users.

Free Activation Process

To access the software's features, users need to obtain a free activation code. This can be easily acquired by installing the Chrome extension and entering one of the provided activation codes.

User-Friendly Interface

The extension is designed for ease of use. Once activated, users can quickly find skin cancer images that visually match their own moles or skin lesions with just a few clicks.

Cost-Free Service

Skin Cancer Image Search is completely free to use. There are no subscriptions or payments required, making it accessible to all users.

Chrome Browser Compatibility

The extension is specifically designed for Chrome browsers, ensuring optimal performance and integration with this popular web browser.

Regular Database Updates

To maintain accuracy and relevance, the database of skin lesion images is continuously updated. This ensures users have access to the most current and comprehensive set of comparison images.

FAQ

What is the purpose of Skin Cancer Image Search?

Skin Cancer Image Search is a Chrome extension designed to help users find skin cancer images on the web that are visually similar to their own moles or skin lesions. It aids in visual comparison and potential early detection of skin cancer.

How does the image analysis work?

The software analyzes similarities between the user's mole image and hundreds of skin lesion images on the Internet using advanced algorithms. It then provides links to the most visually similar skin cancer (and non-cancer) images from its database.

Is there a cost associated with using Skin Cancer Image Search?

No, the Skin Cancer Image Search extension is completely free to use. There are no subscriptions or payments required.

How can I activate the Skin Cancer Image Search extension?

To activate the extension, you need to install it on your Chrome browser and then enter one of the provided free activation codes.

Can I use Skin Cancer Image Search on multiple devices?

Yes, you can use the extension on multiple devices. However, each device will require a separate activation code.

Is the extension available for browsers other than Chrome?

Currently, the Skin Cancer Image Search extension is only available for Chrome browsers.

How often is the image database updated?

The database of skin lesion images is constantly being updated to ensure the most accurate and current results for users.

Latest Traffic Insights

  • Monthly Visits

    193.90 M

  • Bounce Rate

    56.27%

  • Pages Per Visit

    2.71

  • Time on Site(s)

    115.91

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.48%
  • Paid Referrals:
    0.55%
  • Email:
    0.15%
  • Referrals:
    12.81%
  • Search Engines:
    16.21%
  • Direct:
    69.81%
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* Enhanced customization options: ScreenRedact now offers even more customization options, including the ability to change the color and opacity of your redactions.

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* 4.5/5 stars: ScreenRedact has an average rating of 4.5 out of 5 stars on the Mac App Store.
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