2022 - 2024 Prediction of breast cancer growth using mammograms to encourage screening and early detection
Papers (13)：
Yuta Hirono, Chiharu Kai, Akifumi Yoshida, Ikumi Sato, Naoki Kodama, Fumikage Uchida, Satoshi Kasai. Extracting fetal heart signals from Doppler using semi-supervised convolutional neural networks. Frontiers in Physiology. 2024. 15
Hirono Y, Sato I, Kai C, Yoshida A, Kodama N, Uchida F, Kasai S. The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals. Bioengineering. 2024. 11. 7
Chiharu Kai, Takako Morita, Ikumi Sato, Akifumi Yoshida, Naoki Kodama, Satoshi Kasai. The Usefulness of the Breast Density Assessment Application Used by Breast Radiologists. Cureus. 2024. 16. 6
Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Hitoshi Futamura, Satoshi Kasai. Evaluation of subtraction processing for mammograms analyzed by breast density and thickness. Proc. SPIE 13174,17th International Workshop on Breast Imaging (IWBI 2024). 2024
BREAST CANCER SUBTYPES BASED ON MAMMOGRAMS: APPROACH FOR NEW RADIOMICS FEATURES USING VISION TRANSFORMER
(RSNA(Radiological Society of North America) 2024 2024)
2017 - 2019 Kumamoto University Graduate School of Health Sciences
2013 - 2017 Kumamoto University School of Medicine School of Health Sciences
Work history (2)：
2022/04 - 現在 新潟医療福祉大学 医療技術学部 診療放射線学科 助教
2019/04 - 2022/03 コニカミノルタ株式会社
Awards (4)：
2023/10 - 第23回新潟医療福祉学会学術集会 奨励賞 Deep Convolutional Neural Networkから算出した特徴量を用いた乳房構成分類手法の検討:主成分分析による次元削減手法
2019/04 - Radiological physics and technology RPT誌 Doi賞 Computer-aided diagnosis with radiogenomics: Analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images
2018/04 - CyPos Silver Medal Computer-aided diagnosis for the detection of triple negative breast cancer based on radiomics
