Daniela Ushizima

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Cell occlusion, staining variation, particulate forms and diversity of cervical cells are some of the challenges in automating cervical cytology. This paper tackles some of these issues, including the detection of nucleus and cytoplasm from a new standardization for specimen preparation through mono/thin-layer technology. Our approach consists of three main(More)
In this paper, we introduce and evaluate the systems submitted to the first Overlapping Cervical Cytology Image Segmentation Challenge, held in conjunction with the IEEE International Symposium on Biomedical Imaging 2014. This challenge was organized to encourage the development and benchmarking of techniques capable of segmenting individual cells from(More)
We propose and implement a computer vision algorithm for detecting individual cells, including the ability to distinguish subcellular compartments, such as nucleus and cytoplasm. Our approach consists of three main steps: (a) cellular mass estimation, and (b) nuclei detection through superpixel representation and, (c) cytoplasm detection through nuclear(More)
We propose and implement a computer vision algorithm for detecting individual cells, including the ability to distinguish subcellular compartments, such as nucleus and cytoplasm. Our approach consists of three main steps: (a) cellular mass estimation, and (b) nuclei detection through superpixel representation and, (c) cytoplasm detection through nuclear(More)
Numerical simulations of laser wakefield particle accelerators play a key role in the understanding of the complex acceleration process and in the design of expensive experimental facilities. As the size and complexity of simulation output grows, an increasingly acute challenge is the practical need for computational techniques that aid in scientific(More)
As part of the 2008-2009 upgrade of the Franklin Cray XT at the National Energy Research Scientific Computing center, its I/O resources were more than doubled. The extra bandwidth reduced contention for I/O resources and those resources were split into two file systems, /scratch and /scratch2, each with more bandwidth than the original /scratch. In an(More)
Fundus images are valuable resource in diagnosis because they often present indications about retinal, ophthalmic, and even systemic diseases such as diabetes, hypertension, and arteriosclerosis. Processing and analysis constitutes a relevant task to help specialists in detecting eye diseases. This paper focuses on algorithms to detect macula, a fundamental(More)
Fibers provide exceptional strength-to-weight ratio capabilities when woven into ceramic composites, transforming them into materials with exceptional resistance to high temperature, and high strength combined with improved fracture toughness. Microcracks are inevitable when the material is under strain, which can be imaged using synchrotron X-ray computed(More)
This paper introduces a morphological image segmentation method by applying watershed transform with markers to scale-space smoothed images and furthermore provides images for clinical monitoring and analysis of patients. The database comprises sagittal plane images taken from a digital camera of patients submitted to Global Postural Reeducation (GPR)(More)