Mizuho Nishio
Orcid: 0000-0001-5870-0868
According to our database1,
Mizuho Nishio
authored at least 20 papers
between 2015 and 2024.
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Bibliography
2024
Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model.
PeerJ Comput. Sci., 2024
Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging.
CoRR, 2024
Automatic Structuring of Radiology Reports of Chest X-Ray Images Using Large Language Model.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
2023
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance.
PeerJ Comput. Sci., 2023
Development of pericardial fat count images using a combination of three different deep-learning models.
CoRR, 2023
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
2021
Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning.
Int. J. Imaging Syst. Technol., 2021
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network.
Frontiers Artif. Intell., 2021
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks.
CoRR, 2021
2020
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods.
CoRR, 2020
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model.
Comput. Methods Programs Biomed., 2020
Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques.
Comput. Biol. Medicine, 2020
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network.
Comput. Biol. Medicine, 2020
Improving breast mass classification by shared data with domain transformation using a generative adversarial network.
Comput. Biol. Medicine, 2020
2019
Comput. Biol. Medicine, 2019
A case study regarding clinical performance evaluation method of medical device software for approval.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
2017
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
CoRR, 2017
2015
Tumor segmentation on FDG-PET: usefulness of locally connected conditional random fields.
Proceedings of the Medical Imaging 2015: Image Processing, 2015