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127 Hackerman Hall
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courses:456:2022:projects:456-2022-05:project-05 [2022/04/12 02:05] – [Dependencies] wluo14courses:456:2022:projects:456-2022-05:project-05 [2022/05/17 18:09] (current) – [Summary] xma42
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   * **Students:** Xucheng Ma, Xiaorui Zhang, Wenkai Luo   * **Students:** Xucheng Ma, Xiaorui Zhang, Wenkai Luo
-  * **Mentor(s):** Max Li, Danielle Trakimas, Dr.Francis Creighton, Prof.Mathias Unberath, Prof.Russ Taylor+  * **Mentor(s):** Max Li, Danielle Trakimas, Dr.Francis Creighton, Prof.Mathias Unberath, Prof.Russell Taylor
  
 {{:courses:456:2022:projects:456-2022-06:intro.png?400|}}{{:courses:456:2022:projects:456-2022-06:intro2.png?400|}} {{:courses:456:2022:projects:456-2022-06:intro.png?400|}}{{:courses:456:2022:projects:456-2022-06:intro2.png?400|}}
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 ======Deliverables====== ======Deliverables======
    
-  * **Minimum:Benchmarking Existing DL Solutions​** (Expected by March 27th)+  * **Minimum:Benchmarking Existing DL Solutions​** (Expected by April 5th)
     - New dataset from cortical mastoidectomy videos     - New dataset from cortical mastoidectomy videos
-    - At least 3  methods​+    - Benchmark three existing methods that are designed for a similar task (Cholecystectomy).​ 
 +    - A well-documented benchmarking code base that can be easily reused to test out any model for our dataset.​
  
  
   * **Expected: Design a DL Solution for Skull-base Surgery​** (Expected by End of Spring Semester 22)   * **Expected: Design a DL Solution for Skull-base Surgery​** (Expected by End of Spring Semester 22)
-    - 90% Accuracy (correct if segmentation error less than 1% of video length)​ +    - Experiment results analysis of the weakness of benchmarked models.​ 
-    - Algorithms & Code Documentation​+    - Redesign a new model that achieved 85% accuracy, 80% recall, and precision.​
          
  
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     * Planned Date:  02/10     * Planned Date:  02/10
     * Expected Date: 02/10     * Expected Date: 02/10
-    * Status:        80%+    * Status:        100%
   - Milestone name:  Sample Dataset   - Milestone name:  Sample Dataset
     * Planned Date:  02/20     * Planned Date:  02/20
     * Expected Date: 02/20     * Expected Date: 02/20
-    * Status:        10%+    * Status:        100%
   - Milestone name:  Fully Annotated Dataset   - Milestone name:  Fully Annotated Dataset
     * Planned Date:  03/17     * Planned Date:  03/17
-    * Expected Date: 03/17 +    * Expected Date: 04/17 
-    * Status:        5%+    * Status:        12/15 80%
   - Milestone name:  Minimum Deliverables   - Milestone name:  Minimum Deliverables
     * Planned Date:  03/27     * Planned Date:  03/27
     * Expected Date: 03/27     * Expected Date: 03/27
-    * Status:        0%+    * Status:        100%
   - Milestone name:  Initial Network Design   - Milestone name:  Initial Network Design
-    * Planned Date:  03/30 +    * Planned Date:  04/22 
-    * Expected Date: 03/30 +    * Expected Date: 04/22 
-    * Status:        0%+    * Status:        30%
   - Milestone name:  Expected Deliverables   - Milestone name:  Expected Deliverables
-    * Planned Date:  03/27 +    * Planned Date:  04/29 
-    * Expected Date: 03/27 +    * Expected Date: 04/29 
-    * Status:        0%+    * Status:        60%
   - Milestone name:  Final Presentation   - Milestone name:  Final Presentation
     * Planned Date:  05/02     * Planned Date:  05/02
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     * See Bibliography below for links.     * See Bibliography below for links.
   * Project Checkpoint   * Project Checkpoint
-    * {{:courses:456:2022:projects:456-2022-01:checkpoint_presentation.pdf| Project checkpoint presentation}}+    * {{:courses:456:2022:projects:456-2022-05:Checkpoint_Presentation_April_12th.pdf| Project checkpoint presentation}}
   * Paper Seminar Presentations   * Paper Seminar Presentations
     * {{ :courses:456:2022:projects:456-2022-05:seminar_presentation_march_8th.pdf | Seminar presentation}}      * {{ :courses:456:2022:projects:456-2022-05:seminar_presentation_march_8th.pdf | Seminar presentation}} 
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       * {{ :courses:456:2022:projects:456-2022-05:trans-svnet.pdf | Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer}}       * {{ :courses:456:2022:projects:456-2022-05:trans-svnet.pdf | Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer}}
   * Project Final Presentation   * Project Final Presentation
-    * {{:courses:456:2022:projects:456-2022-01:final_poster_pdf.pdf|PDF of Poster}} +    * {{:courses:456:2022:projects:456-2022-01:final_report.pdf|Final poster}} 
-  * Project Final Report +  * Project Final Report [[https://livejohnshopkins.sharepoint.com/:b:/s/SurgicalPhaseSegmentation/EZqd8l8uuslJp4PzzWDkfU0BNffgqX5omtBBLvJZKLuQcg?e=Be04yZ|Final Report]] 
-    * {{:courses:456:2022:projects:456-2022-01:final_report.pdf|Final Report}} +  * links to any appendices or other material
-    * links to any appendices or other material+
  
 ======Project Bibliography======= ======Project Bibliography=======
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 ======Other Resources and Project Files======= ======Other Resources and Project Files=======
   * [[https://livejohnshopkins.sharepoint.com/:x:/s/SurgicalPhaseSegmentation/EciPWczCjnBElMe6pxA0o9sBbHTNHlemB4Fh1KVxRrj_cQ?e=IIuLc2|Gantt Chart]]   * [[https://livejohnshopkins.sharepoint.com/:x:/s/SurgicalPhaseSegmentation/EciPWczCjnBElMe6pxA0o9sBbHTNHlemB4Fh1KVxRrj_cQ?e=IIuLc2|Gantt Chart]]
 +  * [[https://github.com/mxchenggggg/phase_detection|GitHub Repository]]
courses/456/2022/projects/456-2022-05/project-05.1649729150.txt.gz · Last modified: by wluo14




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