• 208 Citations
  • 7 h-Index
20052019
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Fingerprint Dive into the research topics where Atsushi Teramoto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Tomography Engineering & Materials Science
Soldering alloys Engineering & Materials Science
Inspection Engineering & Materials Science
X rays Engineering & Materials Science
Lung Medicine & Life Sciences
Ball grid arrays Engineering & Materials Science
Gabor filters Engineering & Materials Science
Positron emission tomography Engineering & Materials Science

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Research Output 2005 2019

  • 208 Citations
  • 7 h-Index
  • 24 Article
  • 16 Conference contribution
  • 1 Chapter
  • 1 Paper

A complementary scheme for automated detection of high-uptake regions on dedicated breast PET and whole-body PET/CT

Minoura, N., Teramoto, A., Ito, A., Yamamuro, O., Nishio, M., Saito, K. & Fujita, H., 01-01-2019, In : Radiological Physics and Technology.

Research output: Contribution to journalArticle

breast
Breast
tomography
Tomography
Axilla

Application of artificial intelligence in radiology

Teramoto, A., 01-03-2019, In : Japanese Journal of Cancer and Chemotherapy. 46, 3, p. 418-422 5 p.

Research output: Contribution to journalArticle

Artificial Intelligence
Radiology
Technology
Research
Lung Neoplasms

Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network

Teramoto, A., Yamada, A., Kiriyama, Y., Tsukamoto, T., Yan, K., Zhang, L., Imaizumi, K., Saito, K. & Fujita, H., 01-01-2019, In : Informatics in Medicine Unlocked. 16, 100205.

Research output: Contribution to journalArticle

Open Access
Lung
Lenses
Cell Biology
Cause of Death
Lung Neoplasms
1 Citation (Scopus)

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

Onishi, Y., Teramoto, A., Tsujimoto, M., Tsukamoto, T., Saito, K., Toyama, H., Imaizumi, K. & Fujita, H., 01-01-2019, In : BioMed Research International. 2019, 6051939.

Research output: Contribution to journalArticle

Tomography
Biopsy
Neural networks
Lung
Lung Neoplasms
2 Citations (Scopus)

Automated lung nodule detection using positron emission tomography/computed tomography

Teramoto, A. & Fujita, H., 01-01-2018, Intelligent Systems Reference Library. Springer Science and Business Media Deutschland GmbH, p. 87-110 24 p. (Intelligent Systems Reference Library; vol. 140).

Research output: Chapter in Book/Report/Conference proceedingChapter

Positron emission tomography
Tomography
cancer
candidacy
Lung