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Article
Open AccessThe improvement of ground truth annotation in public datasets for human detection
The quality of annotations in the datasets is crucial for supervised machine learning as it significantly affects the performance of models. While many public datasets are widely used, they often suffer from a...
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Article
Elastic and collagen fibers discriminant analysis using H&E stained hyperspectral images
Hematoxylin and eosin (H&E) stain is one of the most common specimen staining methods in pathology diagnosis due to the capability to show the morphological structure of tissue. However, the appearance of the ...
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Article
Layered scalable coding of multispectral images based on visible component separation
This paper presents multispectral image coding methods based on visible component separation techniques. By coding the visible components separately from other spectral components, the color information can be...
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Article
Feasibility study of near-infrared fluorescence tomography using a positron emission tomograph equipped with depth-of-interaction PET detectors
We are currently develo** an imaging system that combines simultaneous positron emission tomography (PET) with near-infrared (NIR) optical tomography, thus supporting two different types of molecular imaging...
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Article
Multispectral Image Compression for Improvement of Colorimetric and Spectral Reproducibility by Nonlinear Spectral Transform
The article proposes a multispectral image compression scheme using nonlinear spectral transform for better colorimetric and spectral reproducibility. In the method, we show the reduction of colorimetric error...
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Article
Color Correction of Pathological Images Based on Dye Amount Quantification
Pathological images are color images of stained tissue slides, the color of which varies depending on staining conditions. For reliable diagnosis, the color variation must be corrected in these images. This pa...
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Article
Color Enhancement in Multispectral Image Using the Karhunen-Loeve Transform
We propose a new method for the color enhancement of multispectral image in the visible wavelength region. The purpose of the proposed method is to explore the weak features contained in a specific wavelength ...
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Article
Digital Staining of Unstained Pathological Tissue Samples through Spectral Transmittance Classification
Histological structures of a pathological tissue sample convey information relevant to the diagnosis of the disease that might have afficted the person. To reveal the morphology of these structures clearly, pa...
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Article
Comparative Evaluation of Spectral Transforms for Multispectral Image Coding in Terms of Color Degradation
Recently, multispectral images have been utilized for high fidelity color reproduction through visual telecommunication systems and its compression schemes have been required. However multispectral image codin...
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Article
Monte Carlo Simulations of Reflected Spectra Derived from Tissue Phantom with Double-Peak Particle Size Distribution
We made a tissue phantom with double-peak particle size distribution, which has polystyrene particles of cell nuclear size and mitochondrial size, and measured the spectrum from the tissue phantom using a sing...
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Article
Endoscopic Observation of Tissue by Narrowband Illumination
We propose a new illumination method for a medical endoscope: narrow band imaging (NBI), in which the spectral bandwidth of the filtered light is narrowed. To confirm how the spectral specifications of the fil...
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Article
Analysis of Spectral Reflectance Using Normalization Method from Endoscopic Spectroscopy System
Objective assessment of gastrointestinal mucosal color is extremely important in the endoscopic diagnosis of digestive tract disease. In this paper, we propose a method to clarify the spectral characteristics ...
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Article
High-fidelity image reproduction using angular distribution of reflected spectral intensity
A method to reproduce images of an object under various observation conditions is presented. In this method, a series of multispectral images is captured by rotating the object under a point light source of wh...
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Article
Unsupervised Image Segmentation Using Hierarchical Clustering
In the analysis of a medical image database aimed at formulating useful knowledge for image diagnosis requires an unsupervised image processing technique without preconceived knowledge. In this paper, we propo...
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Article
An Acceleration Algorithm for Image Reconstruction Based on Continuous-Discrete Map** Model
In image reconstruction for X-ray computed tomography, images reconstructed by filtered backprojection (FBP) include systematic errors because the FBP method does not take into account some of the properties o...
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Article
Long-Term Interval Change Detection from a Sequence of Personal Images
Temporal series of personal images may provide us valuable information regarding progression of a disease over time. A new method, which is based on a pattern histogram approach and time series analysis, is pr...
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Article
Fast Estimation of Scatter Components Using the Ordered Subset Expectation Maximization Algorithm for Scatter Compensation
In this work we propose a method for scatter compensation in single photon emission computed tomography imaging, by which we can estimate the scatter components in projections in high speed with good accuracy....
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Article
Hierarchical Clustering Method for Extraction of Knowledge from a Large Amount of Data
The introduction of information systems in the medical field has made it possible to accumulate a large amount of health care examination data. Analysis of such data could yield valuable new knowledge about he...
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Article
Detection of Interval Changes from a Pair of Images: A Proposal of Pattern Histogram
A new method to detect interval changes from a pair of images is presented, especially when the precise image registration is not available. We extend a well-known image histogram to multi-dimensions with some...
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Article
Opto-Electronic Block-Cipher Based on Iteration of the 2-D Toggle Cellular Automata: Algorithm
Parallel architectures and algorithms may offer a solution to the system bottleneck arising from the need to encrypt a very large amount of data without compromising security. In this respect the use of cellul...
