A5034480349- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- X-ray Diffraction in Crystallography
- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
- AI in cancer detection
- Topic Modeling
- Natural Language Processing Techniques
- COVID-19 diagnosis using AI
- Advanced Text Analysis Techniques
- Enzyme Structure and Function
- Radiation Effects and Dosimetry
- Advanced Chemical Physics Studies
Fujifilm (Japan)
2020-2024
RIKEN Center for Advanced Intelligence Project
2021
Kobe University
2014
Toru Nishino, Ryota Ozaki, Yohei Momoki, Tomoki Taniguchi, Ryuji Kano, Norihisa Nakano, Yuki Tagawa, Motoki Tomoko Ohkuma, Keigo Nakamura. Findings of the Association for Computational Linguistics: EMNLP 2020.
A computer-aided diagnosis (CAD) system that characterizes nodules in medical images can help radiologists determine its malignancy. Preparing large volumes of labeled data for CAD systems, however, requires advanced knowledge. This makes it extremely difficult to develop such despite their growing demand. In this paper, we propose a new training method build an image classifier characterization utilizing pseudo-labels, i.e., labels automatically retrieved from radiology reports. report is...
Worldwide, lung cancer is the leading cause of cancer-related deaths. To manage nodules, radiologists observe computed tomography images, review various imaging findings, and record these in radiology reports. The report contents should be high quality uniform regardless radiologist. Here, we propose an artificial intelligence system that automatically generates descriptions related to nodules images. Our consists image recognition method for extracting contents–namely, bronchopulmonary...
We report preliminary natural circular dichroism (NCD) spectra of amino acids, Land D-histidine, thin films in the nitrogen K-edge energy region. NCD peaks were observed at 399.9 eV and assigned to 1s → π* transition atoms imidazole ring. Imidazole ring is positioned side chain distant from asymmetric carbon. This result suggests that spectroscopy soft X-ray region can selectively pick up information on local structure around specific atoms, regardless position molecules. It interesting view...
宇宙放射線の線量計測等，アラニン線量計の低線量域での応用が広がっている。総線量約10～20Gy，照射時間約100hの条件下におけるアラニン線量計の線量応答値に対する照射中及び照射後の温度の影響を20～80℃の範囲で調べた。既知の高線量域での照射温度係数に加え，照射後の温度の影響に基づいて推定した照射中の高温による応答値の減衰を考慮することで，より正確な線量評価が可能であることが示唆された。