Search results for "Segmentation"

Low-cost method for obtaining medical rapid prototyping using desktop 3d printing : a novel technique for mandibular reconstruction planning

2017

Background Three-dimensional (3D) printing is relatively a new technology with clinical applications, which enable us to create rapid accurate prototype of the selected anatomic region, making it possible to plan complex surgery and pre-bend hardware for individual surgical cases. This study aimed to express our experience with the use of medical rapid prototype (MRP) of the maxillofacial region created by desktop 3D printer and its application in maxillofacial reconstructive surgeries. Material and methods Three patients with benign mandible tumors were included in this study after obtaining informed consent. All patient's maxillofacial CT scan data was processed by segmentation and isolat…

Traitement 3D de nuages de points basé sur la connaissance

2013

The modeling of real-world scenes through capturing 3D digital data has proven to be both useful andapplicable in a variety of industrial and surveying applications. Entire scenes are generally capturedby laser scanners and represented by large unorganized point clouds possibly along with additionalphotogrammetric data. A typical challenge in processing such point clouds and data lies in detectingand classifying objects that are present in the scene. In addition to the presence of noise, occlusionsand missing data, such tasks are often hindered by the irregularity of the capturing conditions bothwithin the same dataset and from one data set to another. Given the complexity of the underlying…

OPS — Operation Planning System for Neurosurgery

1993

The departments for neuroradiology and neurosurgery intend to use computer aided methods for individual planning of operations in the sella region. Essential structures like the optic nerve, arteries, aneurysms, the pituitary stalk, ventricles, and tumors should be segmented, reconstructed and visualized. The computed 3D view shall simulate the neurosurgeon’s view through the operation microscope into the scene. This approach shall remedy the lack of available medical image analysis systems for neurosurgical intervention. The emphasis in this article will be on the segmentation algorithms and the impact of the system on daily neuroradiological work.

VAMPIRE: Vessel assessment and measurement platform for images of the REtina

2011

We present VAMPIRE, a software application for efficient, semi-automatic quantification of retinal vessel properties with large collections of fundus camera images. VAMPIRE is also an international collaborative project of four image processing groups and five clinical centres. The system provides automatic detection of retinal landmarks (optic disc, vasculature), and quantifies key parameters used frequently in investigative studies: vessel width, vessel branching coefficients, and tortuosity. The ultimate vision is to make VAMPIRE available as a public tool, to support quantification and analysis of large collections of fundus camera images.

An Integrated Neural and Algorithmic System for Optical Flow Computation

1997

Motion detection plays a central role in several visual environments: knowledge of object velocities and trajectories is fundamental in scene interpretation and segmentation. This task appears a simple problem, but detecting moving objects is very difficult, in fact this is a problem that cannot be considered completely solved today [1] [2] [3].

Deformable object segmentation in ultra-sound images

2013

Breast cancer is the second most common type of cancer being the leading cause of cancer death among females both in western and in economically developing countries. Medical imaging is key for early detection, diagnosis and treatment follow-up. Despite Digital Mammography (DM) remains the reference imaging modality, Ultra-Sound (US) imaging has proven to be a successful adjunct image modality for breast cancer screening, specially as a consequence of the discriminative capabilities that US offers for differentiating between solid lesions that are benign or malignant. Despite US usability,US suffers inconveniences due to its natural noise that compromises the diagnosis capabilities of radio…

Las experiencias insatisfactorias en restaurantes y el boca-oído negativo

2013

ResumenLos consumidores insatisfechos tienden a contar más sus experiencias que los satisfechos, por lo que los comentarios boca-oído negativos se difunden más que los positivos. Además, los clientes insatisfechos se comportan de forma heterogénea en función de diferentes factores relativos a su experiencia. En este contexto, este trabajo aborda el estudio de las comunicaciones negativas, en su vertiente conductual y actitudinal, desde el enfoque de la segmentación. El objetivo es conocer la relación entre el boca-oído negativo y el nivel de insatisfacción, las emociones, la experiencia previa del consumidor, sus respuestas de queja y de conducta de cambio, y su perfil sociodemográfico. Ana…

A visual framework to create photorealistic retinal vessels for diagnosis purposes

2020

The methods developed in recent years for synthesising an ocular fundus can be been divided into two main categories. The first category of methods involves the development of an anatomical model of the eye, where artificial images are generated using appropriate parameters for modelling the vascular networks and fundus. The second type of method has been made possible by the development of deep learning techniques and improvements in the performance of hardware (especially graphics cards equipped with a large number of cores). The methodology proposed here to produce high-resolution synthetic fundus images is intended to be an alternative to the increasingly widespread use of generative ad…

Multilabel segmentation of cancer cell culture on vascular structures with deep neural networks

2020

New increasingly complex in vitro cancer cell models are being developed. These new models seem to represent the cell behavior in vivo more accurately and have better physiological relevance than prior models. An efficient testing method for selecting the most optimal drug treatment does not exist to date. One proposed solution to the problem involves isolation of cancer cells from the patients' cancer tissue, after which they are exposed to potential drugs alone or in combinations to find the most optimal medication. To achieve this goal, methods that can efficiently quantify and analyze changes in tested cell are needed. Our study aimed to detect and segment cells and structures from canc…

2020

This work introduces a method to estimate reflectance, shading, and specularity from a single image. Reflectance, shading, and specularity are intrinsic images derived from the dichromatic model. Estimation of these intrinsic images has many applications in computer vision such as shape recovery, specularity removal, segmentation, or classification. The proposed method allows for recovering the dichromatic model parameters thanks to two independent quadratic programming steps. Compared to the state of the art in this domain, our approach has the advantage to address a complex inverse problem into two parallelizable optimization steps that are easy to solve and do not require learning. The p…