Lubax, Inc.
Lubax, Inc.
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Introducing Lūbax, a smartphone-based clinical reference

Introducing Lūbax, a smartphone-based clinical reference Introducing Lūbax, a smartphone-based clinical reference Introducing Lūbax, a smartphone-based clinical reference

Lūbax lets you search by picture. Just take a photo of a skin lesion and our app will search a proprietary image database.

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About Us

Analyze

Lūbax helps you quickly analyze a skin lesion. It works in a similar way to a textbook, where you might find an image that looks like your skin problem. But while looking this up in a textbook would take a lot of time, Lūbax does it in an instant!

Database

Lūbax is designed to be more than a one-disease app. We have 12,000 diagnosed images and growing. We are beginning trials to review our accuracy as a diagnostic aid for skin cancer lesions (melanoma).

Goal

Our aim is to provide a simple, inexpensive software system to identify potentially all types of skin lesions using a smartphone-based platform.

Algorithm

Our system's algorithm is unique among smartphone applications, using sophisticated CBIR (content based image recognition) technology to discriminate skin-lesion types.

How it works

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The Algorithm

The Lūbax algorithm works a bit like Google's image search, only ours is specifically designed for skin images. Whereas Google's image search surveys the whole internet, our algorithm uses carefully curated medical images.

Database

Lubax Database

Unlike a typical published textbook or atlas, our reference image library is an ever-growing database of diagnosed images edited by our dermatologists.


Currently our database has 12,000 images of benign and malignant skin lesions for clinicians reviewing skin lesions for skin cancer.

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The Platform

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A smartphone or tablet is the ideal platform for Lūbax. The clinician does not need to obtain expensive hardware solutions or worry about expensive per-use charges per patient. Lūbax is a simple, inexpensive system to identify skin lesions using a smartphone and tablet based platforms.

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