Colon Polyp Recogn

Name: Colon Polyp Recogn
Author: xLandC

LivexLandC1 app · 57 installsMedicalFreecom.xlandc.polyprecogn

Recognition of polyps from colonoscopy image clippings

Alert me ★ Watch Open in Play ↗

Total installs: 57
Installs / day: 0
Rating: —★
Released: 6 Oct 2023
Last update: 9 Oct 2023
Countries: —

Install history

exact counter from Google Play

30dAll

Installs per day · last 90 days

Change timeline

No changes recorded yet. We compare every crawl with the previous one and list title, icon, screenshots, description, version, price and availability changes here.

Country availability

Availability has not been checked for this app yet. “Check all countries” looks the app up in about 140 Google Play storefronts and shows where it is live, listed but not installable, or missing — plus any country-specific (custom) store listings.

Top countries

Country data will be available soon.

We estimate where downloads come from using the app’s position in Google Play’s top charts in about 140 countries. This app is not in any chart we have collected yet; the estimate appears as soon as it is.

Top chart positions

Not in any tracked top chart.

App manifest

Read this app's manifest from Google Play: permissions, declared SDKs, components and AdMob app ID. Saved analysis appears here automatically.

Data safety

declared by the developer on Google Play

No data shared with third parties
No data collected

This is the developer's own declaration, summarised from the Play listing. The permissions below show what the app is technically able to access.

Permissions

1 in 1 group

1 Sensitive0 Notable0 Routine

What this app can do with your phone

Use your camera to take photos and record videos

CameraSensitive1

Access to your camera to take photos and record video

Use your camera to take photos and record videostake pictures and videos · CAMERA

Sensitive = can reach personal data, location, camera/mic or act on your behalf. Notable = changes how your device behaves. Routine = normal for almost every app. Source: Google Play's permission list for all versions of this app.

Store listing

Full description

Prototype application for the recognition of polyps or healthy tissue from colonoscopy image clippings. Image recognition is performed with a pre-trained neural network using TensorFlow and TensorFlow Lite. This network has been trained with clippings from the CVC-ClinicDB database. The predictor model is limited to polyp and non-polyp clippings only. In validation, an accuracy of 0.92 is achieved with the non-polyp class and 0.98 with the polyp class. The app is ad-free and does not collect any personal information. In the future it is expected to improve the current model and implement new models with new algorithms such as SSD MobileNet and YOLO. Made and designed by the RNASA-IMEDIR laboratory, CITIC, University of A Coruña (UDC). If you have any suggestions, please contact us at [email protected].

Growing in Medical

Category →