| scholarly article | Q13442814 |
| P356 | DOI | 10.1007/S11604-018-0779-3 |
| P698 | PubMed publication ID | 30232585 |
| P50 | author | Tsuyoshi Tajima | Q88015638 |
| Tomoyuki Noguchi | Q91557162 | ||
| P2093 | author name string | Takashi Asada | |
| Kota Yokoyama | |||
| Takashi Okafuji | |||
| Yoshitaka Shida | |||
| Fumiya Uchiyama | |||
| Akihiro Machitori | |||
| Yusuke Kawata | |||
| Daichi Higa | |||
| P2860 | cites work | Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images. | Q49796340 |
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| Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks | Q39258437 | ||
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| Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features. | Q48500863 | ||
| A logical calculus of the ideas immanent in nervous activity. 1943. | Q49113428 | ||
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | artificial intelligence | Q11660 |
| GoogLeNet | Q123350046 | ||
| AlexNet | Q28325009 | ||
| mri | Q29725602 | ||
| P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
| P304 | page(s) | 691-697 | |
| P577 | publication date | 2018-09-19 | |
| P1433 | published in | Japanese journal of radiology | Q27722224 |
| P1476 | title | Artificial intelligence using neural network architecture for radiology (AINNAR): classification of MR imaging sequences | |
| P478 | volume | 36 |
| Q92520660 | Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study |
| Q62492127 | How will "democratization of artificial intelligence" change the future of radiologists? |
| Q62492689 | Technical and clinical overview of deep learning in radiology |
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