Encontrados 23 documentos, a visualizar página 1 de 3

Segmentation of Skin Lesions Using Level Set Method

Diagnosis of skin cancers with dermoscopy has been widely accepted as a clinical routine. However, the diagnostic accuracy using dermoscopy relies on the subjective judgment of the dermatologist. To solve this problem, a computer-aided diagnosis system is demanded. Here, we propose a level set method to fulfill the segmentation of skin lesions presented in dermoscopic images. The differences between normal skin...

Segmentation of Female Pelvic Organs in Axial Magnetic Resonance Images using C...

The segmentation of pelvic structures in magnetic resonance (MR) images of the female pelvic cavity is a challenging task. This paper proposes the use of three novel geometric deformable models to segment the bladder, vagina and rectum in axial MR images. The different imaging appearances and prior shape knowledge are combined into a level set framework as segmentation cues. The movements of the contours are co...

Current Trends of Segmentation Algorithms for Skin Lesions

A level set based algorithm to reconstruct the urinary bladder from multiple views

The urinary bladder can be visualized from different views by imaging facilities such as Computerized Tomography and Magnetic Resonance Imaging. Multi-view imaging can present more details of this pelvic organ and contribute to a more reliable reconstruction. Based on the information from multi-view planes, a level set based algorithm is proposed to reconstruct the 3D shape of the bladder using the cross-sectio...

Segmentation of Female Pelvic Cavity in Axial T2-weighted MR Images towards the...

The anatomies of pelvic structures are critical for the diagnosis of pelvic floor dysfunctions. However, because of the complex background, the imaging appearances of pelvic organs and muscles are frequently distorted by noise and partial volume effect. Magnetic resonance imaging with its clear imaging quality of the female pelvic cavity is preferred for many studies. As such, correct segmentations of the pelvi...

Segmentation and 3D reconstruction of female pelvic organs and muscles from T2-...

Segmentação de imagem médica: algoritmos para aplicação à cavidade pélvica femi...

O Processamento e Análise de Imagem compreendem um conjunto de técnicas úteis na melhoria e extracção de informação a partir de imagens. Por exemplo, em Medicina tais técnicas assumem importância relevante no auxílio ao diagnóstico, e em Biomecânica são essenciais na obtenção da geometria das estruturas representadas em tais imagens. O Processamento de Imagem inclui tarefas que permitem melhorar e realçar a inf...

Image Segmentation Algorithms and their use on Doppler Images

This paper aims to make a review on current segmentation algorithms used for medical images. Image segmentation algorithms can be classified according to their methodologies, namely the ones based on thresholds, clustering, and deformable models. Each type of algorithms is discussed as well as their main application fields identified; additionally, the advantages and disadvantages of each type are pointed out. ...

Image Segmentation Algorithms on Female Pelvic Ultrasound Images

The processing and analysis of structures presented in images has been one of the areas of Computational Vision with greater potential and applicability. The main goal of the researchers of this area has been the development of new computational methodologies to study the behaviour of structures in images. The mentioned image-based analysis is very important in many domains. For example, in Medicine, the inform...

A Comparison between Segmentation Algorithms for Urinary Bladder on T2-weighted...

The urinary bladder on T2-weighted MR images has a high signal intensity appearance, which can be clearly identified from the neighboring structures. However, due to the complex imaging background, the appearance of the bladder is frequently influenced by noise and partial volume effect. Different algorithms have been proposed to segment the bladder. Nevertheless, these algorithms are at their beginning phases,...