A5074920808- Medical Image Segmentation Techniques
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Screening and Detection
- Advanced Neural Network Applications
- AI in cancer detection
- Physics of Superconductivity and Magnetism
- COVID-19 diagnosis using AI
- Advanced Condensed Matter Physics
- Medical Imaging Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Medical Imaging and Analysis
- Gastric Cancer Management and Outcomes
- Image Retrieval and Classification Techniques
- Advanced X-ray and CT Imaging
- Lung Cancer Diagnosis and Treatment
- Magnetic and transport properties of perovskites and related materials
- Retinal Imaging and Analysis
- Colorectal Cancer Surgical Treatments
- Advanced Vision and Imaging
- Robotics and Sensor-Based Localization
- Surgical Simulation and Training
- Image Processing Techniques and Applications
- Advanced Image Processing Techniques
- Pancreatic and Hepatic Oncology Research
- Gastrointestinal Bleeding Diagnosis and Treatment
Nagoya University
2016-2025
Okayama Red Cross General Hospital
2024
The Japanese Society of Gastroenterological Surgery
2024
Iwate Medical University
2024
Onomichi General Hospital
2024
Hiroshima University
2024
Hokkaido University
2005-2023
Nara Institute of Science and Technology
2017-2020
Tokyo Denki University
2020
Chiba Institute of Technology
2018
We report elastic, quasielastic (F dE), and inelastic neutron-scattering studies of the instantaneous dynamic spin fluctuations in as-grown doped ${\mathrm{La}}_{2}$${\mathrm{CuO}}_{4}$. Four samples have been studied: (A) ${\mathrm{La}}_{2}$${\mathrm{CuO}}_{4}$ with ${T}_{N}$=195 K, (B) oxygenated ${\mathit{T}}_{\mathit{N}}$\ensuremath{\simeq}100 (C) ${\mathrm{La}}_{2}$${\mathrm{Cu}}_{0.95}$${\mathrm{Li}}_{0.05}$${\mathrm{O}}_{4}$, (D)...
Background: Computer-aided diagnosis (CAD) for colonoscopy may help endoscopists distinguish neoplastic polyps (adenomas) requiring resection from nonneoplastic not resection, potentially reducing cost. Objective: To evaluate the performance of real-time CAD with endocytoscopes (×520 ultramagnifying colonoscopes providing microvascular and cellular visualization colorectal after application narrow-band imaging [NBI] methylene blue staining modes, respectively). Design: Single-group,...
We have carried out elastic, quasielastic ($\ensuremath{\int} \mathrm{dE}$), and inelastic neutron scattering studies of the antiferromagnetic spin correlations in ${\mathrm{La}}_{2\ensuremath{-}x}{\mathrm{Sr}}_{x}\mathrm{Cu}{\mathrm{O}}_{4}$ with $x$ varying between 0.02 0.18. The crystals, which were grown three different laboratories, exhibit behavior that varies smoothly $x$. In all cases, a amplitude corresponding to fully occupied ${\mathrm{Cu}}^{2+}$ square lattice are observed....
The adenoma detection rate is an established quality indicator for colonoscopy. For instance, a 1% increase in the was associated with 3% decrease interval colorectal cancer incidence.1Corley D.A. Jensen C.D. Marks A.R. et al.Adenoma and risk of death.N Engl J Med. 2014; 370: 1298-1306Crossref PubMed Scopus (1166) Google Scholar However, previous meta-analysis showed that approximately 26% neoplastic diminutive polyps were missed single colonoscopy.2van Rijn J.C. Reitsma J.B. Stoker J....
In the treatment of ulcerative colitis (UC), an incremental benefit achieving histologic healing beyond that endoscopic mucosal has been suggested; persistent inflammation increases risk exacerbation and dysplasia. However, identification is extremely difficult using conventional endoscopy. Furthermore, reproducibility disease activity poor. We developed evaluated a computer-aided diagnosis (CAD) system to predict endocytoscopy (EC; 520-fold ultra-magnifying endoscope).We accuracy CAD test...
To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images.
Abstract We developed an AI system capable of automatically classifying anterior eye images as either normal or indicative corneal diseases. This study aims to investigate the influence AI’s misleading guidance on ophthalmologists’ responses. cross-sectional included 30 cases each infectious and immunological keratitis. Responses regarding presence infection were collected from 7 specialists 16 non-corneal-specialist ophthalmologists, first based alone then after presenting classification...
Abstract Background and study aims Invasive cancer carries the risk of metastasis, therefore, ability to distinguish between invasive cancerous lesions less-aggressive is important. We evaluated a computer-aided diagnosis system that uses ultra-high (approximately × 400) magnification endocytoscopy (EC-CAD). Patients methods generated an image database from consecutive series 5843 images 375 lesions. For construction diagnostic algorithm, 5543 238 were randomly extracted for machine...
Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of full volumetric images. In this work, we show that a multi-class FCN trained on manually labeled CT scans seven abdominal structures (artery, vein, liver, spleen, stomach, gallbladder, and pancreas) can achieve competitive segmentation results, while avoiding the need for handcrafting features or training organ-specific models. To end, propose two-stage, coarse-to-fine...
<b>Background and study aims:</b> Optical diagnosis of colorectal polyps is expected to improve the cost-effectiveness colonoscopy, but achieving a high accuracy difficult for trainees. Computer-aided (CAD) therefore receiving attention as an attractive tool. This aimed validate efficacy latest CAD model endocytoscopy (380-fold ultra-magnifying endoscopy). <b>Patients methods:</b> international web-based trial was conducted between August November 2015. A test comprising one white-light...
One of the most common tasks in medical imaging is semantic segmentation. Achieving this segmentation automatically has been an active area research, but task proven very challenging due to large variation anatomy across different patients. However, recent advances deep learning have made it possible significantly improve performance image recognition and methods field computer vision. Due data driven approaches hierarchical feature frameworks, these can be translated images without much...
PURPOSE: To examine whether hyperintense foci in the posterior internal capsule (IC) on T2-weighted magnetic resonance (MR) images represent fibers of corticospinal tract (CST). MATERIALS AND METHODS: The authors reviewed MR 100 control subjects and 35 patients with amyotrophic lateral sclerosis (ALS) brain specimens from seven five ALS patients. RESULTS: In IC, demonstrated a pale area large axons thick myelin sheaths. patients, showed degeneration CST same region. abnormal hyperintensity...
We have studied the spin-wave excitations near two-dimensional zone center at 80 K in a single crystal of ${\mathrm{La}}_{2}$Cu${\mathrm{O}}_{4}$ which orders ${T}_{N}=195$ K. In-plane and out-of-plane modes are observed energies 1.0\ifmmode\pm\else\textpm\fi{}0.25 meV 2.5\ifmmode\pm\else\textpm\fi{}0.5 meV, respectively, The in-plane mode energy is determined primarily by antisymmetric exchange it measures this term directly. corresponds to planar anisotropy \ensuremath{\sim}0.016 meV....