Last Update: August 28th, 2019.

The ULEARn (ULcer ImagE Analysis and Retrieval) framework aims to analyze and store skin ulcer images and related information. ULEARn-App is an Android app, which uses ULEARn's functionalities to support healthcare practitioners in the attendance of patients with skin ulcers.

ULEARn and ULEARn-App were proposed in the work [Cazzolato et al., 2019], which will be presented at SBBD-2019:

SBBD 2019 - Brazilian Symposium on Databases
Website: http://sbbd.org.br/2019/
Ceará, Brazil, October 7-10, 2019

ULEARn-App is in its first version (v0.0.1).

To use ULEARn-App, the smarthphone or mobile device must:

• Run Android OS 8.0 (or higher)
• Possess a digital camera

ULEARn and ULEARn-App have personal and strict information. Accordingly, in order to use the app and/or our system, please contact us by email (see contact information below). We will provide the proper authentication for new users on demand.

ULEARn is a result of a collaboratory work carried in the Databases and Image Group (GBdI) of the Institute of Mathematics and Computer Sciences of University of São Paulo (ICMC - USP). Also, ULEARn is a result of the MIVisBD project (Mining, Indexing and Visualizing Big Data in Clinical Decision Support Systems).

Relevant links: Databases and Image Group (GBdI) MIVisBD Project

Work team:

Mirela Cazzolato (Ph.D.)¹, Lucas Rodrigues (Msc. Student)¹, Lucas Scabora (Ph.D. Student)¹, Guilherme Zabot (Msc. Student)¹, Guilherme Vasconcelos (Msc. Student)¹, Daniel Chino (Ph.D.)¹, Ana Jorge (Ph.D., MD.)², Robson Cordeiro (Ph.D.)¹, Caetano Traina-Jr. (Ph.D.)¹, Agma Traina (Ph.D.)¹.

¹ Authors are with the Institute of Mathematics and Computer Sciences of the University of São Paulo, Brazil.
² Ana Jorge is with the Department of Physical Therapy of the Federal University of São Carlos, Brazil.

We are open to collaborations! In case of any interest on collaborations or for further information, please contact us through the following emails:
[email protected] (Mirela Cazzolato)
[email protected] (Agma Juci Machado Traina)

ULEARn and ULEARn-App are available for researches and data scientists under the GNU General Public License. In case of publication and/or public use of the available sources, as well as any resource derived from it, one should acknowledge its creators by citing the following paper.

[Cazzolato et al., 2019] CAZZOLATO, M. T.; RODRIGUES, L. S.; SCABORA, L. C.; ZABOT, G. F.; VASCONCELOS, G. Q.; CHINO, D. Y. T. ; JORGE, A. E. S.; CORDEIRO, R. L. F.; TRAINA-Jr, C.; TRAINA, A. J. M.. A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice. In the XXXIV Simpósio Brasileiro de Banco de Dados, Fortaleza-CE, Brazil. 2019. (to appear)

Bibtex:

@inproceedings{CazzolatoEtAl2019,  
      author = {Mirela T. Cazzolato and 
                Lucas S. Rodrigues and  
                Lucas C. Scabora and  
                Guilherme F. Zabot and  
                Guilherme Q. Vasconcelos and  
                Daniel Y. T. Chino and  
                Ana E. S. Jorge and  
                Robson L. F. Cordeiro and  
                Caetano Traina-Jr. and  
                Agma J. M. Traina},
      title = {A DBMS-Based Framework for Content-Based Retrieval and Analysis of  
               Skin Ulcer Images in Medical Practice},
      booktitle = {{XXXIV} Simp{\'{o}}sio Brasileiro de Banco de Dados, Fortaleza,  
                   CE, Brazil, October 7-10, 2019. (to appear)},
      pages = {1--12},
      year = {2019}
}