Tuberculosis Application icon

Tuberculosis 1.0.5

8.5 MB / 1+ Downloads / Rating 5.0 - 1 reviews


See previous versions

Tuberculosis, developed and published by AlmanacSoft, has released its latest version, 1.0.5, on 2023-12-10. This app falls under the Medical category on the Google Play Store and has achieved over 50 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Tuberculosis APK available on this page is compatible with all Android devices that meet the required specifications (Android 6.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: com.almanacsoft.tuberculosis

Updated: 1 year ago

Developer Name: AlmanacSoft

Category: Medical

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Tuberculosis on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

Tuberculosis 1.0.5
2023-12-10 / 8.5 MB / Android 6.0+

About this app

This app uses Tensorflow Object Detection API and Tensorflow Lite for developing machine learning mobile app. The ssd_mobilenet_v2_quantized_300x300_coco model is used for transfer training with dataset from J.A. Quinn (http://air.ug/microscopy). The performance of this model is evaluated by COCO detection metrics. The scores are as follow:

Mean Average Precision (mAP) @[ IoU=0.50:0.95 ] = 0.223549
Mean Average Precision (mAP) @[ IoU=0.50 ] = 0.627176
Mean Average Precision (mAP) @[ IoU=0.75 ] = 0.085073

You can use this app only for helping Mycobacterium tuberculosis detection. It CAN'T be used for diagnosis without any supervision from medical expert.

New features

New Tensorflow Lite

App Permissions

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.