[HTML][HTML] Fairness of artificial intelligence in healthcare: review and recommendations
…, N Fujima, F Tatsugami, M Yanagawa… - Japanese Journal of …, 2024 - Springer
In this review, we address the issue of fairness in the clinical integration of artificial intelligence
(AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of …
(AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of …
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction
Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have
shown great potential in enhancing diagnosis and prognosis prediction in patients with …
shown great potential in enhancing diagnosis and prognosis prediction in patients with …
[HTML][HTML] Dynamic chest X-ray using a flat-panel detector system: technique and applications
…, T Hida, T Hino, M Ueyama, M Yanagawa… - Korean journal of …, 2021 - ncbi.nlm.nih.gov
Dynamic X-ray (DXR) is a functional imaging technique that uses sequential images obtained
by a flat-panel detector (FPD). This article aims to describe the mechanism of DXR and the …
by a flat-panel detector (FPD). This article aims to describe the mechanism of DXR and the …
[HTML][HTML] Ultra-high-resolution computed tomography of the lung: image quality of a prototype scanner
…, D Komoto, H Moriya, S Oda, Y Oshiro, M Yanagawa… - PloS one, 2015 - journals.plos.org
Purpose The image noise and image quality of a prototype ultra-high-resolution computed
tomography (U-HRCT) scanner was evaluated and compared with those of conventional high-…
tomography (U-HRCT) scanner was evaluated and compared with those of conventional high-…
Imaging patterns are associated with interstitial lung abnormality progression and mortality
…, T Hida, O Honda, T Araki, M Yanagawa… - American journal of …, 2019 - atsjournals.org
Rationale: Interstitial lung abnormalities (ILA) are radiologic abnormalities on chest computed
tomography scans that have been associated with an early or mild form of pulmonary …
tomography scans that have been associated with an early or mild form of pulmonary …
[HTML][HTML] Effect of matrix size on the image quality of ultra-high-resolution CT of the lung: comparison of 512× 512, 1024× 1024, and 2048× 2048
A Hata, M Yanagawa, O Honda, N Kikuchi, T Miyata… - Academic radiology, 2018 - Elsevier
Rationale and Objectives This study aimed to assess the effect of matrix size on the spatial
resolution and image quality of ultra-high-resolution computed tomography (U-HRCT). …
resolution and image quality of ultra-high-resolution computed tomography (U-HRCT). …
Evaluation of response to neoadjuvant chemotherapy for esophageal cancer: PET response criteria in solid tumors versus response evaluation criteria in solid tumors
M Yanagawa, M Tatsumi, H Miyata… - Journal of nuclear …, 2012 - Soc Nuclear Med
Recently, PET response criteria in solid tumors (PERCIST) have been proposed as a new
standardized method to assess chemotherapeutic response metabolically and quantitatively. …
standardized method to assess chemotherapeutic response metabolically and quantitatively. …
[HTML][HTML] Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric …
M Yanagawa, A Hata, O Honda, N Kikuchi, T Miyata… - European …, 2018 - Springer
Objectives To compare the image quality of the lungs between ultra-high-resolution CT (U-HRCT)
and conventional area detector CT (AD-CT) images. Methods Image data of slit …
and conventional area detector CT (AD-CT) images. Methods Image data of slit …
Acute eosinophilic pneumonia: thin-section CT findings in 29 patients
…, K Fujimoto, T Koga, H Arakawa, M Yanagawa… - European journal of …, 2008 - Elsevier
PURPOSE: To determine thin-section computed tomography (CT) characteristics of acute
eosinophilic pneumonia (AEP). MATERIALS AND METHODS: Thin-section CT scans of 29 …
eosinophilic pneumonia (AEP). MATERIALS AND METHODS: Thin-section CT scans of 29 …
[HTML][HTML] Segmentation of lung nodules on CT images using a nested three-dimensional fully connected convolutional network
…, N Tanaka, Y Suzuki, M Yanagawa… - Frontiers in artificial …, 2022 - frontiersin.org
In computer-aided diagnosis systems for lung cancer, segmentation of lung nodules is
important for analyzing image features of lung nodules on computed tomography (CT) images …
important for analyzing image features of lung nodules on computed tomography (CT) images …