Extended modality propagation: image synthesis of pathological cases

N Cordier, H Delingette, M Lê… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper describes a novel generative model for the synthesis of multi-modal medical
images of pathological cases based on a single label map. Our model builds upon i) a …

Optimized multi threshold brain tumor image segmentation using two dimensional minimum cross entropy based on co-occurrence matrix

T Kaur, BS Saini, S Gupta - Medical Imaging in Clinical Applications …, 2016 - Springer
The present chapter proposes an automatic segmentation method that performs multilevel
image thresholding by using the spatial information encoded in the gray level co-occurrence …

Analysis of brain tumor using intelligent techniques

C Jayalakshmi, K Sathiyasekar - … International Conference on …, 2016 - ieeexplore.ieee.org
Brain tumor occurs when abnormal growth of tissues or cells in the brain is called brain
tumor. Presently using medical imaging techniques are Magnetic Resonance Imaging (MRI) …

[PDF][PDF] Brain tumour detection in MRI images using matlab

AV Prabu, A Bharti, N Guru, S Tripathy - Int J Sci Res Sci Eng …, 2016 - academia.edu
Now a days Medical image processing is the most challenging and emerging field. The
image processing is an important aspect of medical science to visualize the different …

[PDF][PDF] A Practical Approach to Automated Segmen-tation of Brain Tumours in MRI

A Miladinović - MEi: CogSci Conference 2016, Vienna, 2016 - academia.edu
Expert brain tumor identification on multi-modal Magnetic Resonance (MR) images is a very
time-consuming process for medical experts. Therefore, throughout the last decade …

[PDF][PDF] VPH2016, book of abstracts

AG Hoekstra - 2016 - researchgate.net
The risk, the development and the treatment of several major diseases such as cancer are
affected by a large number of factors. In this context maintaining clinical records of individual …

[引用][C] 手术治疗脑肿瘤出血的临床效果与特点

秦欣 - 中国实用神经疾病杂志, 2016