| 研究課題/領域番号 |
19K20685
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| 研究機関 | 千葉大学 |
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研究代表者 |
BhusalChhatkuli Ritu 千葉大学, 子どものこころの発達教育研究センター, 特任助教 (50836591)
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| 研究期間 (年度) |
2019-04-01 – 2025-03-31
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| キーワード | PET/CT / CNN-LSTM / Neural Network / Prediction |
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| 研究実績の概要 |
Initial and delayed scans, also known as dual-time-point scans, are widely used in positron emission tomography/computed tomography (PET/CT) for the diagnosis and delineation of pancreatic cancer; however, their acquisition is relatively time-consuming. The purpose of this pilot study was to use neural network based method to eliminate the need of delayed PET/CT scan for diagnosis. The results obtained from our CNN-LSTM based analysis suggested that our study could obviate the need for delayed scans however validations studies are required for the clinical application of our model.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
4: 遅れている
理由
The pilot study (Data acquisition and analysis) has been completed and the journal paper was submitted, unfortunately it could not be accepted hence we are currently correcting the manuscript and preparing for submission in other journal.
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| 今後の研究の推進方策 |
Currently the manuscript is being prepared for this work and is to be submitted in a scientific journal.
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| 次年度使用額が生じた理由 |
We are yet to publish our paper in a scientific journal and also planning to present the latest result in a conference hence the expenses are needed to be carried to next fiscal year.
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