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Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography
by
Ozaki, Jo
,
Fujioka, Tomoyuki
,
Yamaga, Emi
,
Hayashi, Atsushi
,
Kujiraoka, Yu
,
Imokawa, Tomoki
,
Takahashi, Kanae
,
Okawa, Sayuri
,
Yashima, Yuka
,
Mori, Mio
,
Kubota, Kazunori
,
Oda, Goshi
,
Nakagawa, Tsuyoshi
,
Tateishi, Ukihide
Published in
Japanese journal of radiology
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Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer
by
Takahashi, Kanae
,
Fujioka, Tomoyuki
,
Oyama, Jun
,
Mori, Mio
,
Yamaga, Emi
,
Yashima, Yuka
,
Imokawa, Tomoki
,
Hayashi, Atsushi
,
Kujiraoka, Yu
,
Tsuchiya, Junichi
,
Oda, Goshi
,
Nakagawa, Tsuyoshi
,
Tateishi, Ukihide
Published in
Tomography (Ann Arbor)
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Japanese Journal Of Radiology
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Tomography
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Subjects
Breast Cancer
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Convolutional Neural Network
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Deep Learning
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Image Classification
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Life Sciences & Biomedicine
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Radiology, Nuclear Medicine & Medical Imaging
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Science & Technology
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Artificial Neural Networks
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Axillary Lymph Node Metastases
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Breast
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Breast Neoplasms - Diagnostic Imaging
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Diagnostic Systems
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Female
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Humans
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Imaging
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Lymph Nodes
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Lymphatic System
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Machine Learning
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Medical Imaging
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Medicine
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