Contact Us
CiiS Lab
Johns Hopkins University
112 Hackerman Hall
3400 N. Charles Street
Baltimore, MD 21218
Directions
Lab Director
Russell Taylor
127 Hackerman Hall
rht@jhu.edu
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| courses:456:2023:projects:456-2023-04:project-04 [2023/05/15 02:34] – [Project Management] ywang790 | courses: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.** |
| Line 60: | Line 60: | ||
| ======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: | Classification Deep Learning Architectures: | ||
| Line 72: | Line 72: | ||
| Prediction of Dissection Success: https:// | Prediction of Dissection Success: https:// | ||
| - | **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: | Classification Deep Learning Architectures: | ||
| Line 89: | Line 89: | ||
| Here is a flow chart of the technical approach: | Here is a flow chart of the technical approach: | ||
| - | {{ : | + | {{ : |
| **Images and Annotations** | **Images and Annotations** | ||
| Line 132: | Line 132: | ||
| * **Accomplished VS Planned** | * **Accomplished VS Planned** | ||
| {{ : | {{ : | ||
| + | * **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====== | ||