Titlebook: Image Analysis and Recognition; 14th International C Fakhri Karray,Aurélio Campilho,Farida Cheriet Conference proceedings 2017 The Editor(s

中和

Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification of these lesions is typically performed manually by physicians on magnetic resonance images and represents a non-trivial, time-consuming and subjective task. The proposed method automatically segments white matter lesions using a probabilistic texture-based classification approach. It requires no p

FLASK

ABASH

Ejection Fraction Estimation Using a Wide Convolutional Neural Networkutional neural network to localize the left ventricle from MRI images. Then, the systole and diastole images can be determined based on the size of the localized left ventricle. Next, the network is used in order to segment the region of interest from the diastole and systole images. The end systoli

实现

Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weightering and detecting prostate tumors. The clinical guidelines to interpret DW-MRI for prostate cancer requires the segmentation of the prostate gland into different zones. Moreover, computer-aided detection tools which are designed to detect prostate cancer automatically, usually require the segmentat

NIL

CORD

碎石

Object Boundary Based Denoising for Depth Images suffers from depth image noise. This paper proposes a solution to the problem by estimating depth edges that correspond to the object boundaries and using them as priors in the hole filling process. This method exhibits quantitative and qualitative improvements over the current state-of-the-art met

lavish

Celiac-Plexus

永久

Image Analysis and Recognition978-3-319-59876-5Series ISSN 0302-9743 Series E-ISSN 1611-3349