- Prostate Cancer Diagnosis and Treatment
- MRI in cancer diagnosis
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Reliability and Agreement in Measurement
- Complement system in diseases
- COVID-19 diagnosis using AI
- Prostate Cancer Treatment and Research
- Artificial Intelligence in Healthcare and Education
- Global Cancer Incidence and Screening
- Advanced Statistical Process Monitoring
- Venous Thromboembolism Diagnosis and Management
- Urologic and reproductive health conditions
- Dental Research and COVID-19
- Aluminum toxicity and tolerance in plants and animals
- Urological Disorders and Treatments
- Esophageal Cancer Research and Treatment
- Intensive Care Unit Cognitive Disorders
- Hemoglobinopathies and Related Disorders
- Plant nutrient uptake and metabolism
- Platelet Disorders and Treatments
- Takotsubo Cardiomyopathy and Associated Phenomena
- Medical Imaging Techniques and Applications
- Plant Stress Responses and Tolerance
- Pharmacological Effects and Toxicity Studies
Kyoto Prefectural University
2023
Kobe University
2020-2022
Yokkaichi Municipal Hospital
2021
Kobe University Hospital
2020
VI-RADS: Multiinstitutional Multireader Diagnostic Accuracy and Interobserver Agreement StudyYoshiko Ueno, MD, PhD1, Tsutomu Tamada, PhD1,2, Mitsuru Takeuchi, PhD1,3, Keitaro Sofue, Satoru Takahashi, PhD1,4, Yuki Kamishima, PhD1,5, Yasuyo Urase, MD1, Ayumu Kido, PhD2, Nobuyuki Hinata, PhD6, Kenichi Harada, Masato Fujisawa, Yoshiyuki Miyaji, PhD7 Takamichi Murakami, PhD1Audio Available | Share
Abstract This retrospective study aimed to develop and validate a deep learning model for the classification of coronavirus disease-2019 (COVID-19) pneumonia, non-COVID-19 healthy using chest X-ray (CXR) images. One private two public datasets CXR images were included. The dataset included from six hospitals. A total 14,258 11,253 in 2 455 dataset. based on EfficientNet with noisy student was constructed three datasets. test set 150 evaluated by radiologists. Three-category accuracy...
The usefulness of sparse-sampling CT with deep learning-based reconstruction for detection metastasis malignant ovarian tumors was evaluated. We obtained contrast-enhanced images (n = 141) cancers from a public database, whose were randomly divided into 71 training, 20 validation, and 50 test cases. Sparse-sampling calculated slice-by-slice by software simulation. Two deep-learning models evaluated: Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) deeper U-net. For cases, we...
Objective: To evaluate the interreader agreement and diagnostic performance of Prostate Imaging Reporting Data System (PI-RADS) v. 2.1, in comparison with 2. Methods: Institutional review board approval was obtained for this retrospective study. 77 consecutive patients who underwent a prostate multiparametric magnetic resonance imaging at 3.0 T before radical prostatectomy were included. Four radiologists (two experienced uroradiologists two inexperienced radiologists) independently scored...
ABSTRACT HAK family transporters primarily function as K+ and play major roles in uptake translocation plants, whereas several exhibit Na+ transport activity. OsHAK2, a rice transporter, was shown to mediate Escherichia coli previous study. In this study, we investigated whether OsHAK2 is involved the plant. Overexpression of increased from roots shoots transgenic rice. It also both root whole-plant content, enhanced shoot length under low conditions. Meanwhile, overexpression salt...
Prostate apparent diffusion coefficient (ADC) values calculated from diffusion-weighted imaging have been used for evaluating prostate cancer (PCa) aggressiveness. However, the way of measuring ADC has varied depending on study.To investigate inter- and intra-reader variability diagnostic performance three kinds shaped 2D regions interests (ROIs) tumor measurements in PCa.Seventy-four patients with PCa undergoing 3-T MRI before surgery were included. Histologic findings radical prostatectomy...
ABSTRACT Immunoglobulin A (IgA) vasculitis is characterized by small vessel involving immune complexes and IgA deposition. The development of heparin-induced thrombocytopenia (HIT) during extremely rare. An 87-year-old man presented with general fatigue, leg edema, purpura, arthritis renal disease. He was diagnosed admitted to our hospital. Hemodialysis heparin initiated thrice a week on post-admission Day 11. On 21, hemodialysis, the pressure in dialysis circuit increased interrupted. 24,...
Abstract Purpose This study proposes a Bayesian multidimensional nominal response model (MD-NRM) to statistically analyze the of multiclass classifications. Materials and methods First, for MD-NRM, we extended conventional achieve stable convergence utilized ability parameters. We then applied MD-NRM 3-class classification problem, where radiologists visually evaluated chest X-ray images selected their diagnosis from one three classes. The problem consisted 150 cases, each six based on...