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AI Melanoma (Skin Cancer) Detection on Windows Pc

Developed By: IDerma

License: Free

Rating: 3,8/5 - 13 votes

Last Updated: December 26, 2023

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 1.0.0.10
Size 28 MB
Release Date May 14, 18
Category Medical Apps

App Permissions:
Allows applications to open network sockets. [see more (9)]

What's New:
iPhone and PC - http://melanoma.modelderm.com [see more]

Description from Developer:
- Model Melanoma -

This is an EXPERIMENTAL DEMO APP for Medical Professionals.
PLEASE BE SURE TO TAKE PICTURES IN BRIGHT PLACES.

This is an artificial intelligence skin cancer (m... [read more]

App preview ([see all 7 screenshots])

App preview

About this app

On this page you can download AI Melanoma (Skin Cancer) Detection and install on Windows PC. AI Melanoma (Skin Cancer) Detection is free Medical app, developed by IDerma. Latest version of AI Melanoma (Skin Cancer) Detection is 1.0.0.10, was released on 2018-05-14 (updated on 2023-12-26). Estimated number of the downloads is more than 1,000. Overall rating of AI Melanoma (Skin Cancer) Detection is 3,8. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 13 users, 9 users had rated it 5*, 4 users had rated it 1*.

How to install AI Melanoma (Skin Cancer) Detection on Windows?

Instruction on how to install AI Melanoma (Skin Cancer) Detection on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install AI Melanoma (Skin Cancer) Detection on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Step By Step Guide To Install AI Melanoma (Skin Cancer) Detection using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "AI Melanoma (Skin Cancer) Detection" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install AI Melanoma (Skin Cancer) Detection on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "AI Melanoma (Skin Cancer) Detection" on the home screen of NoxPlayer, just click to open it.

Discussion

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Download older versions

Other versions available: 1.0.0.10.

Download AI Melanoma (Skin Cancer) Detection 1.0.0.10 on Windows PC – 28 MB

- Model Melanoma -

This is an EXPERIMENTAL DEMO APP for Medical Professionals.
PLEASE BE SURE TO TAKE PICTURES IN BRIGHT PLACES.

This is an artificial intelligence skin cancer (melanoma) detection program based on Deep Learning Algorithm.

The results obtained from this program should be used for reference purposes only. Please consult your dermatologist to get a confirmative diagnosis.

If the result is a melanoma, it is highly recommended to visit dermatology.
However, because melanoma cannot be definitely diagnosed by clinical photography alone, therefore, even if the result is not a melanoma,

THIS APP CANNOT CONFIRM THAT IT IS NOT A MELANOMA.
Approximately 10% of melanoma may be missed when we diagnose with clinical photography alone.

The photographs used for analysis are transferred, and stored as a database, which will furnish a reference framework for a future research.

The app will display the result text according to the following conditions:

1) "Probably Not" : miss rate - 0 ~ 6.5%
2) "Possibly", Biopsy recommended : miss rate - 6.5 ~ 19%
3) "Likely", Biopsy recommended : miss rate - 19 ~ 50%
4) "Very Likely", Biopsy recommended : miss rate - 50 ~ 100%

cf) Miss rate (false negative rate) = 1 - sensitivity; The two scores in parentheses must satisfy the condition at the same time.; We calculated the sensitivity of the model with Edinburgh Dermofit Image Library.


- iPhone User (Safari)

http://melanoma.modelderm.com

- Model Dermatology (AI Skin Disease Diagnosis)

https://play.google.com/store/apps/details?id=com.phonegap.dermatology_en
http://modelderm.com
iPhone and PC - http://melanoma.modelderm.com
Allows applications to open network sockets.
Allows applications to access information about networks.
Allows applications to access information about Wi-Fi networks.
Allows applications to connect to paired bluetooth devices.
Allows an application to write to external storage.
Required to be able to access the camera device.
Allows an application to record audio.
Allows an application to modify global audio settings.
Allows an application to read from external storage.