Home  /  Medical Apps  / Model Onychomycosis - Detect Nail Fungus on Windows Pc

Model Onychomycosis - Detect Nail Fungus on Windows Pc

Developed By: IDerma

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: January 02, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 10.0.1.3
Size 1.1 MB
Release Date April 24, 24
Category Medical Apps

App Permissions:
Allows applications to open network sockets. [see more (4)]

Description from Developer:
This is an experimental DEMO for "Onychomycosis Detection using Region-based Convolutional Neural Networks".

It transfers images to main server. The submitted images ar... [read more]

App preview ([see all 4 screenshots])

App preview

About this app

On this page you can download Model Onychomycosis - Detect Nail Fungus and install on Windows PC. Model Onychomycosis - Detect Nail Fungus is free Medical app, developed by IDerma. Latest version of Model Onychomycosis - Detect Nail Fungus is 10.0.1.3, was released on 2024-04-24 (updated on 2024-01-02). Estimated number of the downloads is more than 1,000. Overall rating of Model Onychomycosis - Detect Nail Fungus is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install Model Onychomycosis - Detect Nail Fungus on Windows?

Instruction on how to install Model Onychomycosis - Detect Nail Fungus on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Model Onychomycosis - Detect Nail Fungus 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 Model Onychomycosis - Detect Nail Fungus 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 "Model Onychomycosis - Detect Nail Fungus" 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 Model Onychomycosis - Detect Nail Fungus 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 "Model Onychomycosis - Detect Nail Fungus" on the home screen of NoxPlayer, just click to open it.

Discussion

(*) is required

This is an experimental DEMO for "Onychomycosis Detection using Region-based Convolutional Neural Networks".

It transfers images to main server. The submitted images are anonymized and stored as a database for the research purpose to improve the algorithm.

* Studies related to the Model Onychomycosis
- Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis. Kim YJ, Han SS, Yang HJ, Chang SE. PLoS One. 2020 Jun
- Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network. Han SS, Park GH, Lim W, Kim MS, Na JI, Park I, Chang SE. PLoS One. 2018 Jan 19;13(1):e0191493.
Allows applications to open network sockets.
Allows an application to write to external storage.
Required to be able to access the camera device.
Allows an application to read from external storage.