Last Update: May 13, 2021.
URule and URule-App for the segmentation and wound area measurement of ulcer images.
Disclaimer: This repository contains the description and resources reported in [Cazzolato et al., 2020] and [Cazzolato et al., 2021].
URule-App is in its first version (v0.0.2).
The apk file for Android OS can be found in the app/ folder of this repository.
A mobile device with at least 1GB RAM, and with a commom camera.
The app requires about 100 MB of space for installation and user files.
Android OS 8.0 (Oreo) or later.
- Download the apk file and run it.
- The user may be asked to give the permission for the OS to install a third-party app.
- After giving permission, the user should press "Install". The OS may also ask the user to give a security permission for installation.
The app requires access to the storage and camera of the device.
The experimental data reported in [Cazzolato et al., 2020] and [Cazzolato et al., 2021] can be found in folder expData/.
URule and URule-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., 2020] M. T. Cazzolato; J. S. Ramos; L. S. Rodrigues; L. C. Scabora; D. Y. T. Chino; A. E. S. Jorge; P. M. Azevedo-Marques; C. Traina Jr.; A. J. M. Traina. "Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine," 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), Rochester, MN, USA, 2020, pp. 356-361, doi: 10.1109/CBMS49503.2020.00073.
Link: https://ieeexplore.ieee.org/document/9183060
@inproceedings{CazzolatoEtAl2020, author = {Cazzolato, Mirela T. and Ramos, Jonathan S. and Rodrigues, Lucas S. and Scabora, Lucas C. and Chino, Daniel Y. T. and Jorge, Ana E. S. and Azevedo-Marques, Paulo Mazzoncini and Traina, Caetano and Traina, Agma J. M.}, title = {Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine}, booktitle = {2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)}, pages = {356-361}, doi = {10.1109/CBMS49503.2020.00073}, }
[Cazzolato et al., 2021] M. T. Cazzolato; J. S. Ramos; L. S. Rodrigues; L. C. Scabora; D. Y. T. Chino; A. E. S. Jorge; P. M. Azevedo-Marques; C. Traina Jr.; A. J. M. Traina. "The UTrack Framework for Segmenting and Measuring Dermatological Ulcers through Telemedicine," Journal Computers in Biology and Medicine, pages: 104489, 2021. DOI: 10.1016/j.compbiomed.2021.104489. ISSN:0010-4825.
Link: https://doi.org/10.1016/j.compbiomed.2021.104489
@article{CazzolatoEtAl2021, author = {Mirela T. Cazzolato and Jonathan S. Ramos and Lucas S. Rodrigues and Lucas C. Scabora and Daniel Y.T. Chino and Ana E.S. Jorge and Paulo Mazzoncini {de Azevedo-Marques} and Caetano Traina and Agma J.M. Traina}, title = {The UTrack Framework for Segmenting and Measuring Dermatological Ulcers through Telemedicine}, journal = {Computers in Biology and Medicine}, pages = {104489}, year = {2021}, issn = {0010-4825}, doi = {https://doi.org/10.1016/j.compbiomed.2021.104489}, url = {https://www.sciencedirect.com/science/article/pii/S0010482521002833}, }
URule and URule-App are results of a collaboratory work carried in the Databases and Image Group (GBdI) of the Institute of Mathematics and Computer Sciences of the University of São Paulo (ICMC-USP). Also, URule 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, Jonathan S. Ramos (Ph.D. Student)¹, Lucas Rodrigues (Msc. Student)¹, Lucas Scabora (Ph.D.)¹, Daniel Chino (Ph.D.)², Ana Jorge (Ph.D., MD.)³, Paulo Mazzoncini de Azevedo-Marques⁴, Caetano Traina-Jr. (Ph.D.)¹, Agma Traina (Ph.D.)¹.
¹ Institute of Mathematics and Computer Sciences, University of São Paulo, Brazil.
² InterlockLedger, São Paulo, Brazil
³ Department of Physical Therapy, Federal University of São Carlos, Brazil.
⁴ Ribeirão Preto Medical School, University of São Paulo, Brazil.
We are open to collaborations. In case of any interest on collaborations or for further information, please contact us through the following emails:
[mtcazzolato at gmail dot com] (Mirela Cazzolato)
[agma at icmc dot usp dot br] (Agma Juci Machado Traina)