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Okamoto et al., 2019 - Google Patents

Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images

Okamoto et al., 2019

View PDF
Document ID
17042399971772256968
Author
Okamoto H
Cap Q
Nomura T
Iyatomi H
Hashimoto J
Publication year
Publication venue
2019 IEEE International Conference on Big Data (Big Data)

External Links

Snippet

X-ray examinations are a common choice in mass screenings for gastric cancer. Compared to endoscopy and other common modalities, X-ray examinations have the significant advantage that they can be performed not only by radiologists but also by radiology …
Continue reading at iyatomi-lab.info (PDF) (other versions)

Classifications

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    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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