DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Cho, Seungryong | - |
dc.contributor.advisor | 조승룡 | - |
dc.contributor.author | Kim, Hyoyi | - |
dc.date.accessioned | 2022-04-21T19:32:27Z | - |
dc.date.available | 2022-04-21T19:32:27Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=964739&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/295504 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 원자력및양자공학과, 2021.8,[iii, 18 p. :] | - |
dc.description.abstract | A number of studies have predicted side effects after radiotherapy based on statistical analysis. In this work, Vertebral Compression Fracture (VCF) was predicted using a deep learning (DL) network after Stereotactic Body Radiation Therapy (SBRT). Comparisons with various machine learning techniques have verified that deep learning is an appropriate approach. Using LIME and Grad-CAM, the study analyzes how reasonable the prediction process of the DL network is. As a result, the prediction of multi-modal networks utilizing both CT and planned dose maps of patients turned out to be the most reliable. This confirms that it is reasonable to use DL for prediction, and it is expected that VCF can be predicted in the early step and better treatment plans could be implemented. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Multimodal neural networks▼aStereotactic Body Radiation Therapy (SBRT)▼aVertebral Compression Fracture(VCF)▼aMachine learning▼aNetwork interpretation | - |
dc.subject | 멀티모달 인공신경망▼a체부정위적방사선수술▼a척추뼈압박성골절▼a기계학습▼a네트워크 해석 | - |
dc.title | (An) interpretation study on multi-modal network for vertebral compression fracture prediction after stereotactic body radiotherapy | - |
dc.title.alternative | 척추뼈 전이성 종양에 대한 체부정위적방사선수술 후 척추뼈 압박성 골절을 예측하기 위한 Multi-modal Network의 해석 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :원자력및양자공학과, | - |
dc.contributor.alternativeauthor | 김효이 | - |
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