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Hidetoshi Matsuo

Showing results (1-10 of 20) with videos related to

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Scientific Reports|October 17, 2020
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methodsMizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo, et al.
The Journal of Emergency Medicine|February 13, 2019
Sternal Fracture Complicated by a Subcutaneous Abscess in a 5-Year-Old Boy and Diagnosed Using Point-of-Care UltrasoundShinichi Fukuhara, Tomohiro Sameshima, Hidetoshi Matsuo, et al.
Cancers|November 9, 2024
Exploring Multilingual Large Language Models for Enhanced TNM Classification of Radiology Report in Lung Cancer StagingHidetoshi Matsuo, Mizuho Nishio, Takaaki Matsunaga, et al.
Cancers|March 11, 2023
Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate CancerMizuho Nishio, Hidetoshi Matsuo, Yasuhisa Kurata, et al.
Peerj. Computer Science|October 23, 2023
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performanceMizuho Nishio, Eiji Ota, Hidetoshi Matsuo, et al.
Frontiers in Artificial Intelligence|August 2, 2021
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial NetworkMizuho Nishio, Koji Fujimoto, Hidetoshi Matsuo, et al.
Japanese Journal of Radiology|December 5, 2022
Bayesian multidimensional nominal response model for observer study of radiologistsMizuho Nishio, Daigo Kobayashi, Hidetoshi Matsuo, et al.
European Radiology|December 24, 2025
Identification of high-priority radiology reports with unexpected findings using fine-tuned large language modelsAkihiro Umeno, Mizuho Nishio, Hidetoshi Matsuo, et al.
Oncotarget|June 17, 2021
Deep learning with deep convolutional neural network using FDG-PET/CT for malignant pleural mesothelioma diagnosisKazuhiro Kitajima, Hidetoshi Matsuo, Atsushi Kono, et al.
Scientific Reports|November 14, 2023
Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputersTakehiro Jimbo, Hidetoshi Matsuo, Yuya Imoto, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Scientific Reports|October 17, 2020
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methodsMizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo, et al.
The Journal of Emergency Medicine|February 13, 2019
Sternal Fracture Complicated by a Subcutaneous Abscess in a 5-Year-Old Boy and Diagnosed Using Point-of-Care UltrasoundShinichi Fukuhara, Tomohiro Sameshima, Hidetoshi Matsuo, et al.
Cancers|November 9, 2024
Exploring Multilingual Large Language Models for Enhanced TNM Classification of Radiology Report in Lung Cancer StagingHidetoshi Matsuo, Mizuho Nishio, Takaaki Matsunaga, et al.
Cancers|March 11, 2023
Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate CancerMizuho Nishio, Hidetoshi Matsuo, Yasuhisa Kurata, et al.
Peerj. Computer Science|October 23, 2023
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performanceMizuho Nishio, Eiji Ota, Hidetoshi Matsuo, et al.
Frontiers in Artificial Intelligence|August 2, 2021
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial NetworkMizuho Nishio, Koji Fujimoto, Hidetoshi Matsuo, et al.
Japanese Journal of Radiology|December 5, 2022
Bayesian multidimensional nominal response model for observer study of radiologistsMizuho Nishio, Daigo Kobayashi, Hidetoshi Matsuo, et al.
European Radiology|December 24, 2025
Identification of high-priority radiology reports with unexpected findings using fine-tuned large language modelsAkihiro Umeno, Mizuho Nishio, Hidetoshi Matsuo, et al.
Oncotarget|June 17, 2021
Deep learning with deep convolutional neural network using FDG-PET/CT for malignant pleural mesothelioma diagnosisKazuhiro Kitajima, Hidetoshi Matsuo, Atsushi Kono, et al.
Scientific Reports|November 14, 2023
Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputersTakehiro Jimbo, Hidetoshi Matsuo, Yuya Imoto, et al.
Pageof 2