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Article
Open AccessThe effect of sequential combination of mirror therapy and robot-assisted therapy on motor function, daily function, and self-efficacy after stroke
Robot-assisted therapy and mirror therapy are both effective in promoting upper limb function after stroke and combining these two interventions might yield greater therapeutic effects. We aimed to examine whe...
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Article
Open AccessRobust watermarking algorithm for medical images based on log-polar transform
In the information age, network security has gradually become a potentially huge problem, especially in the medical field, it is essential to ensure the accuracy and safety of images, and patient information n...
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Article
Open AccessComparative effects of EMG-driven robot-assisted therapy versus task-oriented training on motor and daily function in patients with stroke: a randomized cross-over trial
Robot-assisted hand training has shown positive effects on promoting neuromuscular control. Since both robot-assisted therapy and task-oriented training are often used in post-stroke rehabilitation, we raised ...
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Article
Open AccessConservation and divergence of vulnerability and responses to stressors between human and mouse astrocytes
Astrocytes play important roles in neurological disorders such as stroke, injury, and neurodegeneration. Most knowledge on astrocyte biology is based on studies of mouse models and the similarities and differe...
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Article
Open AccessGut microbial taxa elevated by dietary sugar disrupt memory function
Emerging evidence highlights a critical relationship between gut microbiota and neurocognitive development. Excessive consumption of sugar and other unhealthy dietary factors during early life developmental pe...
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Article
Open AccessAccurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images
To effectively detect and investigate various cell-related diseases, it is essential to understand cell behaviour. The ability to detection mitotic cells is a fundamental step in diagnosing cell-related diseas...
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Chapter and Conference Paper
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification
Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First...
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Chapter and Conference Paper
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images
Computer-aided diagnosis (CAD) systems are useful for assisting radiologists with clinical diagnoses by classifying focal liver lesions (FLLs) based on multi-phase computed tomography (CT) images. Although man...
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Article
Open AccessCo-occurrence context of the data-driven quantized local ternary patterns for visual recognition
In this paper, we describe a novel local descriptor of image texture representation for visual recognition. The image features based on micro-descriptors such as local binary patterns (LBP) and local ternary p...
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Article
Open AccessSex-related difference in human white matter volumes studied: Inspection of the corpus callosum and other white matter by VBM
It has been contended that any observed difference of the corpus callosum (CC) size between men and women is not sex-related but brain-size-related. A recent report, however, showed that the midsagittal CC are...
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Article
Open AccessNuclear detection in 4D microscope images of a develo** embryo using an enhanced probability map of top-ranked intensity-ordered descriptors
Nuclear detection in embryos is an indispensable process for quantitative analysis of the development of multicellular organisms. Due to the overlap in the distribution of pixel intensity of nuclear and cytopl...
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Chapter and Conference Paper
Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data
We describe a method to capture disease-specific components in organ shapes. A statistical shape model, constructed by the principal component analysis (PCA) of organ shapes, is used to define the subspace rep...
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Chapter and Conference Paper
Face Recognition Using Multilinear Manifold Analysis of Local Descriptors
In this paper, we propose to represent a face image as a local descriptor tensor and use a Multilinear Manifold Analysis (MMA) method for discriminant feature extraction, which is used for face recognition. Th...
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Chapter and Conference Paper
Supervised Local Subspace Learning for Region Segmentation and Categorization in High-Resolution Satellite Images
We proposed a new feature extraction method based on supervised locality preserving projections (SLPP) for region segmentation and categorization in high-resolution satellite images. Compared with other subspa...
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Chapter and Conference Paper
KANSEI Based Clothing Fabric Image Retrieval
KANSEI is a Japanese term which means psychological feeling or image of a product. KANSEI engineering refers to the translation of consumers’ psychological feeling about a product into perceptual design elemen...
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Chapter and Conference Paper
Multi-angle View, Illumination and Cosmetic Facial Image Database (MaVIC) and Quantitative Analysis of Facial Appearance
We constructed a multi-angle view, illumination and cosmetic facial image database (MaVIC) for quantitative characterization of facial appearance. The facial images in the database are captured from various an...
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Chapter and Conference Paper
Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model
An atlas-based automated liver segmentation method from 3D CT images is described. The method utilizes two types of atlases, that is, the probabilistic atlas (PA) and statistical shape model (SSM). Voxel-based...
