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Rosado L.,Fraunhofer Portugal AICOS | Castro R.,Fraunhofer Portugal AICOS | Ferreira L.,Fraunhofer Portugal AICOS | Ferreira M.,Portuguese Institute of Oncology of Porto
Studies in Health Technology and Informatics | Year: 2012

One of the greatest challenges in dermatology today is the early detection of melanoma since the success rates of curing this type of cancer are very high if detected during the early stages of its development. The main objective of the work presented in this paper is to create a prototype of a patientoriented system for skin lesion analysis using a smartphone. This work aims at implementing a self-monitoring system that collects, processes, and stores information of skin lesions through the automatic extraction of specific visual features. The selection of the features was based on the ABCD rule, which considers 4 visual criteria considered highly relevant for the detection of malignant melanoma. The algorithms used to extract these features are briefly described and the results achieved using images taken from the smartphone camera are discussed. © 2012 The authors and IOS Press. All rights reserved.


Rosado L.,Fraunhofer Portugal AICOS | Ferreira M.,Portuguese Institute of Oncology of Porto
Proceedings - 2013 2nd Experiment@ International Conference, exp.at 2013 | Year: 2013

Mobile Teledermatology appears nowadays as a promising tool with the potential to empower patients to adopt an active role in managing their own health status, while facilitates the early diagnosis of skin cancers. The main objective of this work is to create a mobile-based prototype to analyze skin lesions based on supervised classification. The presented self-monitoring system collects, processes and storages information of skin lesions through the automatic extraction and classification of specific visual features. The selected features are based on the ABCD rule, which considers 4 visual criteria considered highly relevant for the detection of malignant melanoma. The algorithms used to extract and classify these features are briefly described, as well as the overall system requirements and architecture. © 2013 IEEE.


De Barros A.C.,Fraunhofer Portugal AICOS | Leitao R.,Sheffield Hallam University | Ribeiro J.,Fraunhofer Portugal AICOS
Procedia Computer Science | Year: 2013

Smartphones are becoming increasingly widespread around the globe and are ever more accessible to everyone, including older adults, who are traditionally seen as experiencing difficulties in interacting with information and communication technologies. While these devices are increasingly being used to cover health needs, there are not sufficient studies addressing usability of smartphone user interfaces for older adults. This paper describes the design and evaluation process of the user interface of a smartphone application designed to promote exercise and prevent falls amongst older adults. Iteratively, three successive versions of the user interfaces were tested with different groups of older adults. The results and findings from three rounds of usability tests led to recommendations regarding inclusive design and designing for older adults that may be a useful contribution to the broader community when designing interfaces for smartphones. © 2013 The Authors. Published by Elsevier B.V.


Vasconcelos M.J.M.,Fraunhofer Portugal AICOS | Rosado L.,Fraunhofer Portugal AICOS | Ferreira M.,Portuguese Institute of Oncology
2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings | Year: 2015

The incidence of melanoma has been increasing steadily over the past few decades throughout most of the world. The development of computer diagnosis systems that use dermoscopic images can be of great help for the diagnosis of melanoma. This paper presents an image processing and analysis methodology using supervised classification to independently assess the Asymmetry, Border, Color and Dermoscopic Structures score according to the ABCD rule, and the corresponding Total Dermatoscopy Score of a skin lesion using dermoscopic images. A dermoscopic image dataset was used to test the proposed approach, annotated by dermatology specialists according to the ABCD rule and being the confirmed malignant melanomas also identified. Accuracy rates of 74.0%, 78.3% and 53.5% were achieved for the estimation of the ABCD score of the Asymmetry, Border and Color criterion, as well as accuracy rates for the presence of the five Differential Structures of 72.4%, 68.5%, 74.0%, 74.0% and 85.8% for dots, globules, streaks homogeneous areas and pigment network. Moreover, sensitivity and specificity rates of 93.3% and 69.1% were achieved for the classification of the dermoscopic images as melanoma or non-melanoma. © 2015 IEEE.


Vasconcelos M.J.M.,Fraunhofer Portugal AICOS | Rosado L.,Fraunhofer Portugal AICOS | Ferreira M.,Portuguese Institute of Oncology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Skin cancer is the most common of all cancer types and Malignant Melanoma is the most dangerous form of it, thus prevention is vital. Risk assessment of skins lesions is usually done through the ABCD rule (asymmetry, border, color and differential structures) that classifies the lesion as benign, suspicious or highly suspicious of Malignant Melanoma. A methodology to assess the asymmetry of a skin lesion image in relation to each axis of inertia, for both dermoscopic and mobile acquired images, is presented. It starts by extracting a set of 310 of asymmetry features, followed by testing several feature selection and machine learning classification methods in order to minimize the classification error. For dermoscopic images, the developed methodology achieves an accuracy of 87% regarding asymmetry classification while, for mobile acquired images the accuracy reaches 73.1%. © Springer International Publishing Switzerland 2014.


Rosado L.,Fraunhofer Portugal AICOS | Vasconcelos M.J.M.,Fraunhofer Portugal AICOS
HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015 | Year: 2015

Nowadays, skin cancer is considered one of the most common malignancies in the Caucasian population, thus it is crucial to develop methodologies to prevent it. Because of that, Mobile Teledermatology (MT) is thriving, allowing patients to adopt an active role in their health status while facilitating doctors to early diagnose skin cancers. Skin lesion segmentation is one of the most important and difficult task in computerized image analysis process, and so far the attention is mainly turned to dermoscopic images. In order to turn MT more accurate, it is therefore fundamental to develop simple segmentation methodologies specifically designed for macroscopic images or images acquired via smartphones, which is the main focus of this work. The proposed method was applied in 80 images acquired via smartphones and promising results have been achieved: a mean Jaccard index of 81%, mean True Detection Rate of 96% and mean Accuracy around 98%. The major goal of this work is to develop a mobile application easily accessible for the general population, with the aim of raise awareness and help both patients and doctors in the early diagnosis of skin cancers.


Vasconcelos M.J.M.,Fraunhofer Portugal AICOS | Rosado L.,Fraunhofer Portugal AICOS
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

One of the most important challenges of dealing with digital images acquired under uncontrolled conditions is the capability to assess if the image has enough quality to be further analyzed. In this scenario, blur can be considered as one of the most common causes for quality degradation in digital pictures, particularly in images acquired using mobile devices. In this study, we collected a set of 78 features related with blur detection and further analyzed its individual discriminatory ability for two dermatologic image datasets. For the dataset of dermoscopic images with artificially induced blur, high separation levels were obtained for the features calculated using DCT/DFT and Lapacian groups, while for the dataset of mobile acquired images, the best results were obtained for features that used Laplacian and Gradient groups. © 2014 Springer International Publishing.


Silva J.,Fraunhofer Portugal AICOS | Sousa I.,Fraunhofer Portugal AICOS
2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings | Year: 2016

Strategies for fall risk assessment are currently not multifactorial neither implemented as a regular assessment of health status in clinics or hospital. The reason could be related with a lack of an easy to implement, complete and objective test to assess elderly's fall risk level. More recently, inertial wearable sensors have been used in combination with standard tests to evaluate the performance of the person during each phase of the test in an objective way. This paper proposes a methodology for collecting and analyzing the Timed-Up and Go (TUG) test instrumented with wearable inertial sensors. An automatic algorithm to segment the TUG test into three components was implemented prior to feature extraction. Overall, features from the walking and first turning phases of the tests could provide meaningful information to differentiate groups of high and low fall risk. © 2016 IEEE.


Nunes F.,Fraunhofer Portugal AICOS | Kerwin M.,Fraunhofer Portugal AICOS | Silva P.A.,Fraunhofer Portugal AICOS
ASSETS'12 - Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility | Year: 2012

While guidelines for designing websites and iTV applications for older adults exist, no previous work has suggested how to best design TV user interfaces UIsthat are accessible to older adults. Building upon pertinent guidelines from related areas, this paper presents thirteen recommendations for designing UIs for TV applications for older adults. These recommendations are the result of iterative design, testing, and development of a TV-based health system for older adults that aims to provide a holistic solution to improve quality of life for older adults with chronic conditions by fostering their autonomy and reducing hospitalization costs. The authors' work and experience shows that widely known UI design guidelines unsurprisingly apply to the design of TV-based applications for older adults, but acquire a crucial importance in this context.


Ribeiro J.,Fraunhofer Portugal AICOS | Correia De Barros A.,Fraunhofer Portugal AICOS
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

While smartphones and tablets increasingly offer the possibility to act as healthcare devices, older adults, who may benefit from these new technologies, might be left behind due to technological illiteracy and lack of proper instructions. This study documents an experiment to evaluate and compare different instructional methods to teach older adults to perform a task on a smartphone. Although we did find that older adults were able to learn, no significant differences between instructional methods were found, and retention period is not known. The qualitative analysis suggests some influence of the users' initial perception of task difficulty over task performance. © 2014 Springer International Publishing.

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