Android application for acquiring images of diabetic foot ulcers
Abstract
Diabetic foot ulcers (DFU) are one the most common complications of patients who have diabetes mellitus. DFU study is a worldwide problem and despite the fact that there are computer tools to contribute to its treatment, these are not available in our country or it is necessary to pay for licenses to allow their use. The correct storage of DFU images contributes to the creation of a national database for the subsequent development and fine-tuning of algorithms devoted to segment and analysis these lesions remotely and automatically. So it is important to develop an application for mobile devices that allows standardizing the acquisition of images of DFU and store basic information. Android Studio was used as the programming environment and the minimum functional requirements for the first version were met. Templates were used to take the photos that allow focusing on the specific areas where the lesion is located and to standardize the focal distance. An apk was implemented that allows the acquisition/storage of DFU images/information with a view to the creation of a national database and the development of segmentation algorithms and injury analysis automatically using Digital Image Processing, Computer Vision and Artificial Intelligence techniques
Downloads
References
P. Zhang, J. Lu, Y. Jing, S. Tang, D. Zhu, and Y. Bi, “Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis †,” Ann Med, vol. 49, no. 2, pp. 106–116, Mar. 2017, doi: 10.1080/07853890.2016.1231932.
R. Sorber and C. J. Abularrage, “Diabetic foot ulcers: Epidemiology and the role of multidisciplinary care teams,” Seminars in Vascular Surgery, vol. 34, no. 1, pp. 47–53, Mar. 2021, doi: 10.1053/j.semvascsurg.2021.02.006.
S. A. Bus, “The Role of Pressure Offloading on Diabetic Foot Ulcer Healing and Prevention of Recurrence,” Plastic and Reconstructive Surgery, vol. 138, no. 3S, p. 179S, Sep. 2016, doi: 10.1097/PRS.0000000000002686.
D. G. Armstrong, A. J. M. Boulton, and S. A. Bus, “Diabetic Foot Ulcers and Their Recurrence,” N Engl J Med, vol. 376, no. 24, pp. 2367–2375, Jun. 2017, doi: 10.1056/NEJMra1615439.
B. A. Lipsky et al., “2012 Infectious Diseases Society of America Clinical Practice Guideline for the Diagnosis and Treatment of Diabetic Foot Infectionsa,” Clinical Infectious Diseases, vol. 54, no. 12, pp. e132–e173, Jun. 2012, doi: 10.1093/cid/cis346.
J. I. Fernández‐Montequín et al., “Intralesional administration of epidermal growth factor-based formulation (Heberprot-P) in chronic diabetic foot ulcer: treatment up to complete wound closure,” International Wound Journal, vol. 6, no. 1, pp. 67–72, 2009, doi: https://doi.org/10.1111/j.1742-481X.2008.00561.x.
H. Carrión, M. Jafari, M. D. Bagood, H. Yang, R. R. Isseroff, and M. Gomez, “Automatic wound detection and size estimation using deep learning algorithms,” bioRxiv, p. 2020.11.13.275917, Nov. 2020, doi: 10.1101/2020.11.13.275917.
P. L. Muñoz, R. Rodríguez, and N. Montalvo, “Automatic Segmentation of Diabetic foot ulcer from Mask Region-Based Convolutional Neural Networks,” Journal of Biomedical Research and Clinical Investigation, vol. 1, no. 1.1006, 2020.
J. D. López-Cabrera, Y. Ruiz-Gonzalez, R. Díaz-Amador, and A. Taboada-Crispi, “Estrategias de fusión para la clasificación automática de imágenes de úlceras de pie diabético usando técnicas de visión por computadora,” Revista Cubana de Ciencias Informáticas, vol. 16, no. 1, pp. 163–179, 2022.
R. Niri et al., “Multi-view data augmentation to improve wound segmentation on 3D surface model by deep learning,” IEEE Access, vol. 9, pp. 157628–157638, 2021.
P. Wang, E. Fan, and P. Wang, “Comparative analysis of image classification algorithms based on traditional machine learning and deep learning,” Pattern Recognition Letters, vol. 141, pp. 61–67, Jan. 2021, doi: 10.1016/j.patrec.2020.07.042.
Moi Hoon Yap et al., “Diabetic Foot Ulcers Grand Challenge 2020,” Mar. 2020, doi: 10.5281/ZENODO.3715015.
Moi Hoon Yap et al., “Diabetic Foot Ulcers Grand Challenge 2021,” Mar. 2020, doi: 10.5281/ZENODO.3715019.
Moi Hoon Yap et al., “Diabetic Foot Ulcers Grand Challenge 2022,” Mar. 2021, doi: 10.5281/ZENODO.4575227.
M. H. Yap et al., “A New Mobile Application for Standardizing Diabetic Foot Images,” Journal of Diabetes Science and Technology, vol. 12, no. 1, p. 169, Jan. 2018, doi: 10.1177/1932296817713761.
L. Fraiwan, M. AlKhodari, J. Ninan, B. Mustafa, A. Saleh, and M. Ghazal, “Diabetic foot ulcer mobile detection system using smart phone thermal camera: a feasibility study,” BioMedical Engineering OnLine, vol. 16, no. 1, p. 117, Oct. 2017, doi: 10.1186/s12938-017-0408-x.
M. Goyal, N. D. Reeves, S. Rajbhandari, N. Ahmad, C. Wang, and M. H. Yap, “Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques,” Computers in Biology and Medicine, vol. 117, p. 103616, Feb. 2020, doi: 10.1016/j.compbiomed.2020.103616.
“Healogics Photo+ | Wound Measurement App,” Healogics. Accessed: Apr. 13, 2021. [Online]. Available: https://www.healogics.com/woundsuite-wound-care-software/wound-measurement-app/
L. Fraiwan, J. Ninan, and M. Al-Khodari, “Mobile Application for Ulcer Detection,” Open Biomed Eng J, vol. 12, pp. 16–26, 2018, doi: 10.2174/1874120701812010016.
“Digital Planimetry and Measurements on Digtial Images Using PictZar Wound and other Measurements Software.” Accessed: Dec. 18, 2023. [Online]. Available: http://www.pictzar.com/
WoundDesk, “+WoundDesk - Mobile enhanced Wound Management for Chronic Wounds,” +WoundDesk. Accessed: Dec. 18, 2023. [Online]. Available: https://wounddesk.com
“Wound Zoom’s Wound Management System.” Accessed: Dec. 18, 2023. [Online]. Available: https://woundreference.com/app/topic?id=wound-zooms-wound-management-system
G. García Gómez et al., “Mejoramiento de contraste y segmentación en imágenes de úlceras del pie diabético,” Revista Cubana de Angiología y Cirugía Vascular, vol. 20, no. 3, Dec. 2019, Accessed: Apr. 13, 2021. [Online]. Available: http://scielo.sld.cu/scielo.php?script=sci_abstract&pid=S1682-00372019000300003&lng=es&nrm=iso&tlng=es
“Guia para desarrolladores.” [Online]. Available: https://developer.android.com/guide
Copyright (c) 2024 ITEGAM-JETIA
This work is licensed under a Creative Commons Attribution 4.0 International License.