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courses:456:2023:projects:456-2023-04:project-04 [2023/05/15 02:34] – [Project Management] 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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 ======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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   * **Accomplished VS Planned**   * **Accomplished VS Planned**
 {{ :courses:456:2023:projects:456-2023-04:wechat_image_20230514223407.png?600 |}} {{ :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-04.1684118080.txt.gz · Last modified: by ywang790




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