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Hitoshi Futamura

Showing results (1-10 of 7) with videos related to

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Cureus|April 14, 2025
Artificial Intelligence System for Automatic Mammary Region Extraction Using Semi-subjective Corrected Region for Breast Composition EvaluationSachi Ishizuka, Chiharu Kai, Tsunehiro Ohtsuka, et al.
Frontiers in Oncology|March 20, 2024
Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligenceChiharu Kai, Tsunehiro Otsuka, Miyako Nara, et al.
European Journal of Radiology Open|July 12, 2026
Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning modelsAkifumi Yoshida, Chiharu Kai, Ikumi Sato, et al.
Frontiers in Medicine|March 21, 2024
Spirometry test values can be estimated from a single chest radiographAkifumi Yoshida, Chiharu Kai, Hitoshi Futamura, et al.
Cancers|June 22, 2023
Automated Estimation of Mammary Gland Content Ratio Using Regression Deep Convolutional Neural Network and the Effectiveness in Clinical Practice as Explainable Artificial IntelligenceChiharu Kai, Sachi Ishizuka, Tsunehiro Otsuka, et al.
Diagnostics (Basel, Switzerland)|June 19, 2024
Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of MammogramsChiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, et al.
Breast Cancer Research and Treatment|January 22, 2025
Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network featuresChiharu Kai, Hideaki Tamori, Tsunehiro Ohtsuka, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Cureus|April 14, 2025
Artificial Intelligence System for Automatic Mammary Region Extraction Using Semi-subjective Corrected Region for Breast Composition EvaluationSachi Ishizuka, Chiharu Kai, Tsunehiro Ohtsuka, et al.
Frontiers in Oncology|March 20, 2024
Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligenceChiharu Kai, Tsunehiro Otsuka, Miyako Nara, et al.
European Journal of Radiology Open|July 12, 2026
Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning modelsAkifumi Yoshida, Chiharu Kai, Ikumi Sato, et al.
Frontiers in Medicine|March 21, 2024
Spirometry test values can be estimated from a single chest radiographAkifumi Yoshida, Chiharu Kai, Hitoshi Futamura, et al.
Cancers|June 22, 2023
Automated Estimation of Mammary Gland Content Ratio Using Regression Deep Convolutional Neural Network and the Effectiveness in Clinical Practice as Explainable Artificial IntelligenceChiharu Kai, Sachi Ishizuka, Tsunehiro Otsuka, et al.
Diagnostics (Basel, Switzerland)|June 19, 2024
Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of MammogramsChiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, et al.
Breast Cancer Research and Treatment|January 22, 2025
Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network featuresChiharu Kai, Hideaki Tamori, Tsunehiro Ohtsuka, et al.
Pageof 1