| 研究生: |
陳智偉 Chen, Chih-Wei |
|---|---|
| 論文名稱: |
二維影像編輯與瀏覽系統及其在醫學教育上的應用 2D image browsing system and its application in medical education |
| 指導教授: |
陳敬
Chen, Jing |
| 共同指導教授: |
陳立祥
Chen, Lih-Shyang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系碩士在職專班 Department of Electrical Engineering (on the job class) |
| 論文出版年: | 2023 |
| 畢業學年度: | 111 |
| 語文別: | 中文 |
| 論文頁數: | 175 |
| 中文關鍵詞: | 數位學習 、醫學影像 、解剖學 、線上測驗 、自動評分 |
| 外文關鍵詞: | E-learning, Medical Image, Human Anatomy, Online Test, Automated Scoring |
| 相關次數: | 點閱:253 下載:15 |
| 分享至: |
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自西元2019年12月以來,COVID-19疫情影響了全世界,疫情初期更使得多個國家的學校因此停課或暫時關閉,導致學生的學習中斷。然而,因為電腦技術演進及網路的普及,學生因此有了更多的管道進行學習,也促進了E-learning平台的快速發展。
人體解剖學是醫學院一門很重要且基礎的課程。在疫情影響下,我們特別與醫學院師生合作,開發了一套基於E-learning平台的Z方向2D人體切片影像解剖學學習系統。此系統可提供醫學院教師建立關於Z方向2D人體切片影像的考題,且考題有三種作答模式可以選擇;學生則對教師建立的考題作答。學生作答完畢提交答案後可立即知道測驗結果;教師也可檢視每個學生的成績。此系統也提供學生可隨時學習關於Z方向2D人體切片影像內的器官具體形狀、位置或與3D人體器官影像間的對應關係。
The outbreak of COVID-19 has affected the whole world and schools in many countries either suspended classes or even closed temporarily, resulting in the interruption of students' learning. However, because of the advances in computer technologies and the popularity of Internet, students have many methods to continue their learning, which have promoted the rapid development of E-learning.
"Human anatomy" is a very important and fundamental course in medical schools. In the light of the impact of COVID-19, we collaborated with teachers and students of medical school to develop an E-learning-based system on 2D cross-sectional images of human body to help learn human anatomy. The system provides teachers of medical school the functionalities to create learning materials and examination papers about 2D cross-sectional images of human body. The system also provides students ways to learn, at anytime and anywhere, about specific shape and location of human organs through 2D cross-sectional images. Students also can learn the relationship and correspondence between 3D images of human organs and 2D cross-sectional images of human organs. Regarding to online testing and examination, students can answer the questions created by the teachers, and receive their scores straightway upon turning in the online form of examination paper, while teachers can conveniently check each student's performance.
[1] Unesco. (2021). Distance Learning Solutions. Unesco.
https://en.unesco.org/covid19/educationresponse/solutions
[2] Muhammad ashraf fauzi. (2022). E-Learning in Higher Education Institutions during COVID-19 Pandemic: Current and Future Trends through Bibliometric Analysis. Heliyon.
https://doi.org/10.1016/j.heliyon.2022.e09433
[3] 陳昭成. (2019). 雲端解剖學學習系統.
https://thesis.lib.ncku.edu.tw/thesis/detail/4cdefe0ecea2304f60f3b66b661ef41d/
[4] national library of medicine (nlm). (n.d.). Visible Human Project. National Library of Medicine - National Institutes of Health.
https://www.nlm.nih.gov/research/visible/visible_human.html
[5] David richfield, Mikael häggström, m.d. - author info - reusing images - conflicts of interest: none mikael häggström, & Cmglee. (2014, October 25). Anatomical Plane. Wikipedia.
https://commons.wikimedia.org/w/index.php?curid=91212408
[6] 黃暉竣. (2009). 智慧型互動式教案線上教育訓練系統.
https://thesis.lib.ncku.edu.tw/thesis/detail/a9bd799082278816175a42c61acd30a7/
[7] 黃哲斌. (2011). 建立人體器官地圖及數位學習方法.
https://thesis.lib.ncku.edu.tw/thesis/detail/174c60a94619a5b080f37b19df834078/
[8] Microsoft. (2021, August 1). Named Pipes. MICROSOFT LEARN.
https://docs.microsoft.com/en-us/windows/desktop/ipc/named-pipes
[9] Unity. (n.d.). Unity. Unity.
https://unity.com/cn
[10] Microsoft. (2022). SignalR 簡介. MICROSOFT LEARN.
https://docs.microsoft.com/zh-tw/aspnet/signalr/overview/getting-started/introduction-to-signalr
[11] 簡宇廷. (2020). 線上目錄表格製作系統及互動式學習系統設計與實作.
https://thesis.lib.ncku.edu.tw/thesis/detail/14dffc98cea606c7a45250642c1a62fa/
[12] Denis potschien. (2017, May 12). HTML5 Canvas or SVG: Choose Wisely. Noupe.
https://www.noupe.com/design/html5-canvas-or-svg-choose-wisely.html
[13] Agafonkin, V. (2016). Polylabel: a fast algorithm for finding the pole of inaccessibility of a polygon [Computer software].
https://github.com/mapbox/polylabel
[14] Agafonkin, V. (2016, August 15). A New Algorithm for Finding a Visual Center of a Polygon. Maps for Developers.
https://blog.mapbox.com/a-new-algorithm-for-finding-a-visual-center-of-a-polygon-7c77e6492fbc
[15] Pankaj. (2021, January 16). Checking Overlap between Elements. Time to Hack.
https://time2hack.com/checking-overlap-between-elements/
[16] Algorithm.notes@gmail.com . (n.d.). Point. 演算法筆記.
https://web.ntnu.edu.tw/~algo/Point.html