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Panretinal Laser Photocoagulation (PRP) using the slit-lamp is a widely used treatment for sight-threatening retina diseases. It is a challenging procedure, therefore a number of mapping techniques have been proposed to provide surgeons with reliable intra-operative navigation assistance and mapping. However, available methods are limited by tracking errors, caused by lens distortions, illumination...
Health care providers continue to feel the pressure in providing adequate care for an increasing elderly population. If length of stay patterns for elderly patients in care can be captured through analytical modelling, then accurate predictions may be made on when they are expected to leave hospital. The Discrete Conditional Phase-type (DC-Ph) model is an effective technique through which length of...
Prostate cancer is a complex disease which advances in stages. While clinical failure (including metastasis) is a significant endpoint following a radical prostatectomy, it can often take years to manifest, usually too late to be optimistically treated. Instead the earlier endpoint of PSA Recurrence is frequently used as a surrogate in prognostic modeling. The central issue in these models is managing...
A research work is reproducible when all research artifacts such as as text, data, figure and code are available for independent researchers reproduce the results. In this paper, we present a reproducible gait analysis to track Parkinson's Disease evolution by monitoring walking abnormalities. Weapplied Principal Component Analysis into gait data to detect user's abnormalities that may indicate the...
Antibacterial resistance has been progressively increasing mostly due to selective antibiotic pressure, forcing pathogens to either adapt or die. The development of antibacterial resistance to last-line antibiotics urges the formulation of alternative strategies for drug discovery. Recently, attention has been devoted to the development of computational methods to predict drug-target interactions...
Radiation therapy is a local treatment aimed at killing cells in and around a tumor. Accurate predictions of lung tumor motion help to improve the precision of radiation treatment by controlling the position of a patient during radiation treatment. Our goal is to develop an algorithmic solution for predicting the position of a target in 3D in real time. In addition to prediction accuracy and low fluctuation...
Operationalizing care delivery through an interdisciplinary healthcare team (IHT) requires knowledge about the overall structure of an IHT and the behavioral rules that "control" the dynamics of this structure interpreted as team and clinical leadership maintenance and task allocation. While progress has been made in understanding IHT structure, there is less work on the behavioral aspects...
The development of computer-aided diagnosis (CAD) systems for antinuclear autoantibodies tests in indirect immunofluorescence using HEp-2 cells has attracted growing research efforts in the last years. Although in this field many CAD solutions extract information from objects detected within the images, cell segmentation is an issue far from being solved. This work introduces a segmentation pipeline...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Histopathological staining is a technique widely used to highlight biological states or pharmacological activities in uman tissue. A quantitative analysis of the resulting images can produce biomarkers for diseases or even other specific conditions, thus providing valuable information for diagnosis and prognosis. Since biomarkers require measurements to be made in an objective and consistent way,...
This paper proposes a novel model, called Similarity Based on Visual Attention Features (SimVisual), to enhance the similarity analysis between images by considering features extracted from salient regions mapped by visual attention models. Visual attention models have demonstrated to be very useful for encoding perceptual semantic information of the image content. Thus, aggregating saliency features...
The identification of predictive features associated with distinct medical outcomes is a key requirement for meaningful clinical decision support. Usually, their discovery is based on sets of labeled examples and an analysis of the inherent information of the features w. r. t. the target variable. However, obtaining large sets of labeled examples may be not feasible and the sole label consideration...
Telemedicine and Telehealth are disciplines dedicated to provide health care and health care education when distance is an issue. Nowadays, Telemedicine and Telehealth Stations (TTSs) are used to provide physicians and educators with tools that concentrate and integrate different technologies, contributing to organize and simplify their workload. To support scenarios involving features related to...
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