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courses:456:2023:projects:456-2023-04:project-04 [2023/05/15 02:18] – [Specific Aims:] ywang790courses:456:2023:projects:456-2023-04:project-04 [2023/05/15 02:47] (current) – [Vision Guided Mosquito Dissection for the Production of Malaria Vaccine] ywang790
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 ======Vision Guided Mosquito Dissection for the Production of Malaria Vaccine====== ======Vision Guided Mosquito Dissection for the Production of Malaria Vaccine======
-**Last updated: 05/10/2023, 7 p.m.**+**Last updated: 05/14/2023, 7 p.m.**
  
  
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 {{ :courses:456:2023:projects:456-2023-04:图片2.jpg?400 |}} {{ :courses:456:2023:projects:456-2023-04:图片2.jpg?400 |}}
  
-======Background, Specific Aims, and Significance======+======Background, Specific Aims/Goals, and Significance======
  
 ===== Background: ===== ===== Background: =====
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 ======Project Outcomes and Technical Documentation====== ======Project Outcomes and Technical Documentation======
  
-**Codes and label files in Gitlab repository for these tasks: (Access to the project Gitlab is required)** +**Codes and label files in Gitlab repository for these tasks: (Access to the project Gitlab is required. Ask Prof.Russell H. Taylor or Balazs Vagvolgyi to grant permission.)** 
  
 Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/lib/sanaria_classification_dl Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/lib/sanaria_classification_dl
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 Prediction of Dissection Success: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/tasks/success_prediction_2 Prediction of Dissection Success: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/tree/main/tasks/success_prediction_2
  
-**GitLab Wiki and documentation for these tasks: (Access to the project Gitlab is required)**+**GitLab Wiki and documentation for these tasks: (Access to the project Gitlab is required. Ask Prof.Russell H. Taylor or Balazs Vagvolgyi to grant permission.)**
  
 Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/wikis/Classification-Deep-Learning-Architectures Classification Deep Learning Architectures: https://git.lcsr.jhu.edu/mosquito-vision/sanaria_cv_dl/-/wikis/Classification-Deep-Learning-Architectures
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 Here is a flow chart of the technical approach: Here is a flow chart of the technical approach:
  
-{{ :courses:456:2023:projects:456-2023-04:未命名文件_10_.png?200 |}}+{{ :courses:456:2023:projects:456-2023-04:流程图.png?400 |}}
  
 **Images and Annotations** **Images and Annotations**
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 {{ :courses:456:2023:projects:456-2023-04:fig1.png?600 |}} {{ :courses:456:2023:projects:456-2023-04:fig1.png?600 |}}
  
-======Project Management ====== +======Project Management Summary====== 
-  * **Yutai Wang (Team Leader/ Team Member):** Responsible for all tasks. Developed classification neural networks. Collected image data and collaborated with labeling. Designed the experiment platform and conducted experiments for the extra work. Wrote documentation and uploaded corresponding codes to project’s Gitlab for each task. +  * **Credits** 
-  **Balazs Vagvolgyi (Mentor):** Provide mentorship. Have regular weekly meeting with me to discuss results and determine what should be the next step. +  - **Yutai Wang (Team Leader/ Team Member):** Responsible for all tasks. Developed classification neural networks. Collected image data and collaborated with labeling. Designed the experiment platform and conducted experiments for the extra work. Wrote documentation and uploaded corresponding codes to project’s Gitlab for each task. 
 +  **Balazs Vagvolgyi (Mentor):** Provide mentorship. Have regular weekly meeting with me to discuss results and determine what should be the next step. 
 +  * **Accomplished VS Planned** 
 +{{ :courses:456:2023:projects:456-2023-04:wechat_image_20230514223407.png?600 |}} 
 +  * **Future Plan** 
 +  - Based on the Prediction of Dissection Success results, investigate methods to locate specific regions on mosquito images that contribute strongest to variability in exudate quality. Record relevant codes and documentation in Gitlab. 
 +  - Develop exudate volume estimation based on deep learning methods. Complete exudate volume estimation codes in Gitlab repository. Write documentation in Gitlab Wiki and Readme files.
  
 ======Reports and presentations====== ======Reports and presentations======
courses/456/2023/projects/456-2023-04/project-04.1684117132.txt.gz · Last modified: by ywang790




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