Xuebin Hu and Hidefumi Kobatake

A New Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation

Frequency domain blind source separation has the great advantage that the complicated convolution in time domain becomes multiple efficient multiplications in frequency domain. However, the inherent ambiguity of permutation of ICA becomes an important problem that the separated signals at different frequencies may be permuted in order. Mapping the separated signal at each frequency to a target ...

Computer-Aided Detection of Breast Cancer Using an Ultra High-Resolution Liquid Crystal Display: Reading Session Analysis

Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography

This paper presents an ensemble learning algorithm for liver tumour segmentation from a CT volume in the form of U-Boost and extends the loss functions to improve performance. Five segmentation algorithms trained by the ensemble learning algorithm with different loss functions are compared in terms of error rate and Jaccard Index between the extracted regions and true ones. key words: CT image,...

Optimal image feature set for detecting lung nodules on chest X-ray images

The performance of a computer-aided diagnosis system depends on the feature set used in it. This paper shows the results of image feature selection experiments. We evaluated 210 features to look for the optimum feature set. For the purpose, a forward stepwise selection approach was employed. The area under the receiver operating characteristic (ROC) curve was adopted to evaluate the performance...

Multi-shape graph-cuts and its application to lung segmentation from a chest CT volume

This paper presents a novel graph-cuts algorithm that can take into account a multiple-shape constraint and reports a lung segmentation process from a three-dimensional computed tomography (CT) image, based on the graph-cuts algorithm. A major contribution of this paper is the proposal of a segmentation algorithm that can consider multiple shapes in a graph-cuts framework. Using experiments, we...