The risk of death incurred by breast cancer is rising exponentially, especially among women.
The early breast cancer diagnosis before it metastasizes helps medical staff controlling this …

In breast tumor diagnostic tasks, joint analysis of multiple sequences of MRI can improve the
accuracy of diagnosis. More and more studies focus on the correlation between sequences …

Palmprint biometrics is a promising modality that enables efficient human identification, also
in a mobile scenario. In this paper, a novel approach to feature extraction for palmprint …

High-resolution palmprint recognition is a challenging problem due to deficiencies in
images, such as poor quality, skin distortion, and unallocated images. Considering the …

Mammography continues to play a central part in the early breast masses diagnosis and has
raised several challenges in breast cancer detection. Nevertheless, it remains still difficult to …

为了解决掌纹掌脉识别技术中稳定性差和识别率低的问题ꎬ 提出一种基于局部邻域四值模式的
掌纹掌脉融合识别算法ꎮ 对掌纹掌脉图像利用非下采样轮廓波变换(non-subsampled …

This paper describes a novel intra-modal feature fusion for palmprint recognition based on
fusing multiple descriptors to analyze the complex texture pattern. The main contribution lies …

The security of people requires a beefy guarantee in our society, particularly, with the spread
of terrorism throughout the world. In this context, palmprint identification based on texture …

Biometrics characteristics are usually employed in the context of authentication or
identification. They are particularly relevant when designing security systems aiming to …

Worldwide, breast cancer is a commonly occurring disease in women. Automatic diagnosis
of the lesions based on mammographic images is playing an essential role to assist experts …