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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 曾雪峰(Snow H. Tseng) | |
| dc.contributor.author | Fang-Yuan Huang | en |
| dc.contributor.author | 黃芳源 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:28:34Z | - |
| dc.date.available | 2022-02-28 | |
| dc.date.available | 2022-11-24T03:28:34Z | - |
| dc.date.copyright | 2021-11-11 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-08-23 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81060 | - |
| dc.description.abstract | 皮膚的層次以及細胞核的影像分割無論在診斷還是電腦分析，都是病理學上重要的資訊及任務。本論文中，我們設計了一個可以從人類皮膚的三維光學同調斷層掃描（OCT）中獲取細胞核體機率分佈的架構，再利用得來的細胞核資訊，進一步訓練出分割細胞核的模型，以用來輔助影像轉換，該影像轉換建立在循環生成對抗網路並能將人類皮膚的光學同調斷層掃描影像轉換成蘇木精與伊紅（H E）染色。在測試影像集上，角質層的下邊界與表皮層的下邊界於影像轉換前後的位置誤差分別為±0.73μm和±4.53μm，而在加入細胞核位置資訊後，細胞核於影像轉換前後的索倫森-骰子係數從0.536上升至0.586。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:28:34Z (GMT). No. of bitstreams: 1 U0001-2208202116475700.pdf: 22628225 bytes, checksum: ac3b71e252471db167b12a541debdfc1 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員會審定書 I 誌謝 II 摘要 III ABSTRACT IV TABLE OF CONTENTS V TABLE OF FIGURES VII TABLE OF TABLES X CHAPETER 1. INTRODUCTION 1 1.1. RESEARCH MOTIVE 1 CHAPETER 2. BACKGROUND 3 2.1. CONVOLUTIONAL NEURAL NETWORK 3 2.1.1. CNN’s application in image classification 4 2.1.2. CNN’s application in image segmentation 5 2.1.3. GAN’s theory and application in image conversion 8 2.2. HUMAN SKIN AND ITS MEDICAL IMAGES 14 2.2.1. Human skin structure 14 2.2.2. Hematoxylin and eosin stain 20 2.2.3. Optical coherence tomography 24 2.3. CURRENT WORK REVIEW 27 CHAPETER 3. METHODS 30 3.1. RESEARCH DESIGN 30 3.1.1. Random rayburst sampling 30 3.1.2. Research framework 33 3.2. DATA COLLECTION AND TRAINING PROCEDURE 34 3.2.1. Nucleus classifier and semi-supervised learning 34 3.2.2. Nucleus segmenter and reconstruction of annotation 45 3.2.3. Nuclei-layers segmentation model 52 CHAPETER 4. RESULTS 65 4.1. COMPARISON BETWEEN 2D AND 3D IMAGE SEGMENTATION MODEL 65 4.2. OCT2HE MODEL AFTER ADDING NUCLEI INFORMATION 68 4.3. POST PROCESSING OF PSEUDO ANNOTATION OF NUCLEI 75 CHAPETER 5. CONCLUSIONS AND FUTURE WORK 78 5.1. CONCLUSIONS 78 5.2. FUTURE WORK 78 REFERENCE 80 | |
| dc.language.iso | en | |
| dc.subject | 細胞核分割 | zh_TW |
| dc.subject | 影像轉換 | zh_TW |
| dc.subject | 隨機射線取樣 | zh_TW |
| dc.subject | 光學同調斷層掃描 | zh_TW |
| dc.subject | 蘇木精與伊紅染色 | zh_TW |
| dc.subject | 生成對抗網路 | zh_TW |
| dc.subject | hematoxylin and eosin stain | en |
| dc.subject | generative adversarial network | en |
| dc.subject | random rayburst sampling | en |
| dc.subject | image conversion | en |
| dc.subject | optical coherence tomography | en |
| dc.subject | nuclei segmentation | en |
| dc.title | 分割皮膚組織的光學同調斷層掃描影像以優化生醫影像轉換 | zh_TW |
| dc.title | Segmentation of in vivo OCT image of three-dimensional human skin structure to facilitate biomedical image conversion | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃升龍(Hsin-Tsai Liu),陳宏銘(Chih-Yang Tseng) | |
| dc.subject.keyword | 細胞核分割,影像轉換,隨機射線取樣,光學同調斷層掃描,蘇木精與伊紅染色,生成對抗網路, | zh_TW |
| dc.subject.keyword | nuclei segmentation,image conversion,random rayburst sampling,optical coherence tomography,hematoxylin and eosin stain,generative adversarial network, | en |
| dc.relation.page | 83 | |
| dc.identifier.doi | 10.6342/NTU202102590 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-08-24 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 光電工程學研究所 | zh_TW |
| 顯示於系所單位： | 光電工程學研究所 | |
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