MS Miyuka Nakamura
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開始行:
#related
----
CENTER:COLOR(#990055){SIZE(30){''Design of an AI-Enabled System for Real-time Pneumonia Detection''}}
----
*AIRBiS progress meeting [#f5568590]
-[[AIRBiS Minutes]]
----
*Background [#hdf7ab88]
With the Coronavirus disease (COVID-19) disrupting large part of the world, the number of patients has grown progressively. For dealing with this serious emergency, accurate diagnosis and fast reporting are two significant mechanisms.
*Research Goal [#peb277c4]
+Search and collect X-ray image datasets containing non-infected (normal) and infected (COVID-19) data given many open sources
+Perform pre-processing tasks, e.g. as follows:
++ denoising
++ resizing
++ data augmentation
++ segmentation
++ we should also come up with other issues and corresponding strategies
+CNN implementation and evaluation
++ A CNN-based architecture will be adopted for the binary classification task. Once the model learns the feature representation of the input images, a classifier can thus output the diagnosis result, i.e., normal or infected. Framework and language: TensorFlow (Keras), Python
++ Using the diagnosis (classification) results to evaluate the performance of the CNN (e.g., detection accuracy)
CENTER:&ref(AIRBiS-SW.png,,50%);
*Research Schedule [#q0b5e376]
- M1
| Date | Task |
|☑️June 1 - July 15, 2020| Making prototype CNN |
|☑️July 15 - Aug 15, 2020| Preprocessing the Dataset |
|☑️Aug 15 - Aug 31, 2020 | Argumentation the Dataset |
|☑️Sep 1 - Oct 31, 2020 | Evaluation Dataset |
|☑️Nov 1 - Nov 16, 2020 | Evaluation CNN |
|☑️Nov 16 - Nov 25, 2020 | Writing a paper |
|☑️Nov 26 - Nov 30, 2020 | Writing a progress report |
|☑️Deadline for 1st Draft: 11th Dec 2020| Preparing draft for [[International ACM conference>https://etltc-acmchap-japanconf.org/]] |
|( Dec 13 - Dec 23, 2020: Winter Vacation ) ||
|Dec 24 - Jan 1st, 2021 -> after ACM|Experiments with different CNN optimizers|
|☑️7th January, 2021|[ACM] Acceptance/Rejection Notification|
|☑️Jan 7 - Jan 26|Preparing a presentation|
|☑️Jan 7 - Jan 31|Research of Real-time augmentation|
|☑️Jan 7 - Jan 31|Writing additional contents to paper|
|☑️27-30 January, 2021|[ACM] Conference|
|☑️Feb 1st week|Correcting Final draft|
|☑️Feb 19|Submitted the final Draft|
|☑️( Feb 3rd week - Apr 30, 2021: Job Hunting )||
- M2
| Date | Task |
|April 30, 2021 - |Reading papers for HW optimization|
|May 17, 2021| The AIRBiS meeting: Creating an annual schedule|
|May 17, 2021 - |Starting the implemention of optimization of HW|
|May 20 - June 5, 2021|Deal with the accuracy problem of the new dataset with Mr.Wang.|
|June 7 - June 25|Improve the accuracy by changing the augmentation methods|
|June 28 - July 30|Changing input image size, segmentation|
|Aug 1 - Aug 30|Evaluation of AIRBiS software part|
|Sep 1 - Sep 30|Writing Introduction of the master thesis|
|Oct 1st week |Writing Background and Motivation|
|Oct 2nd week |Writing Related works and Software part|
|Oct 18, 2021 |Submission of the theme for master's thesis to SAD|
|Oct 3rd week |Writing Hardware part|
|Oct 4th week |Writing UI part and Conclusion|
|Nov 1st week |Reading the paper of UI, especially how to use SQL|
|Nov 2nd week |Review and functional design of functions required for UI|
|Nov 3-4 week |Implementing the patients Database|
|Dec 1st -|Connecting UI-Hardware|
|Dec 3-4 week |M Thesis Improvement|
|Dec 6, 2021 |Submission the thesis drafts to the referees|
|Jan 1st-2nd week |Experimental results Review and optimization of the data set|
|Jan 3rd-4th week |Creating MT presentation slides|
|Jan 28, 2022 |Submission Final MT|
|Feb 10, 2022 |Presentation of MT|
CENTER:COLOR(red){''Schedule last Updated on: 06/01/2022''}
*Research Progress [#m562b08f]
- [[June progress >https://drive.google.com/file/d/1Gg5lQy0A7LHpF0Eaw6fMT5i_l3k8EA5r/view?usp=sharing]]
--MEMO: investigation of the U-Net
--(English)[[https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/]]
--(Japanese)[[https://lp-tech.net/articles/hzfn7]]
- [[July progress >https://drive.google.com/file/d/14X9gjPU2jcOHx0DymljPMFoypdy9NE5H/view?usp=sharing]]
Subsequent progress --> [[AIRBiS Minutes]]
*References [#f5a18ef1]
-[[My Shared Google Drive Folder>https://drive.google.com/drive/folders/1NZ4FjBIewY7T6a8q11E6WhQIUYSWTf4O?usp=sharing]]
終了行:
#related
----
CENTER:COLOR(#990055){SIZE(30){''Design of an AI-Enabled System for Real-time Pneumonia Detection''}}
----
*AIRBiS progress meeting [#f5568590]
-[[AIRBiS Minutes]]
----
*Background [#hdf7ab88]
With the Coronavirus disease (COVID-19) disrupting large part of the world, the number of patients has grown progressively. For dealing with this serious emergency, accurate diagnosis and fast reporting are two significant mechanisms.
*Research Goal [#peb277c4]
+Search and collect X-ray image datasets containing non-infected (normal) and infected (COVID-19) data given many open sources
+Perform pre-processing tasks, e.g. as follows:
++ denoising
++ resizing
++ data augmentation
++ segmentation
++ we should also come up with other issues and corresponding strategies
+CNN implementation and evaluation
++ A CNN-based architecture will be adopted for the binary classification task. Once the model learns the feature representation of the input images, a classifier can thus output the diagnosis result, i.e., normal or infected. Framework and language: TensorFlow (Keras), Python
++ Using the diagnosis (classification) results to evaluate the performance of the CNN (e.g., detection accuracy)
CENTER:&ref(AIRBiS-SW.png,,50%);
*Research Schedule [#q0b5e376]
- M1
| Date | Task |
|☑️June 1 - July 15, 2020| Making prototype CNN |
|☑️July 15 - Aug 15, 2020| Preprocessing the Dataset |
|☑️Aug 15 - Aug 31, 2020 | Argumentation the Dataset |
|☑️Sep 1 - Oct 31, 2020 | Evaluation Dataset |
|☑️Nov 1 - Nov 16, 2020 | Evaluation CNN |
|☑️Nov 16 - Nov 25, 2020 | Writing a paper |
|☑️Nov 26 - Nov 30, 2020 | Writing a progress report |
|☑️Deadline for 1st Draft: 11th Dec 2020| Preparing draft for [[International ACM conference>https://etltc-acmchap-japanconf.org/]] |
|( Dec 13 - Dec 23, 2020: Winter Vacation ) ||
|Dec 24 - Jan 1st, 2021 -> after ACM|Experiments with different CNN optimizers|
|☑️7th January, 2021|[ACM] Acceptance/Rejection Notification|
|☑️Jan 7 - Jan 26|Preparing a presentation|
|☑️Jan 7 - Jan 31|Research of Real-time augmentation|
|☑️Jan 7 - Jan 31|Writing additional contents to paper|
|☑️27-30 January, 2021|[ACM] Conference|
|☑️Feb 1st week|Correcting Final draft|
|☑️Feb 19|Submitted the final Draft|
|☑️( Feb 3rd week - Apr 30, 2021: Job Hunting )||
- M2
| Date | Task |
|April 30, 2021 - |Reading papers for HW optimization|
|May 17, 2021| The AIRBiS meeting: Creating an annual schedule|
|May 17, 2021 - |Starting the implemention of optimization of HW|
|May 20 - June 5, 2021|Deal with the accuracy problem of the new dataset with Mr.Wang.|
|June 7 - June 25|Improve the accuracy by changing the augmentation methods|
|June 28 - July 30|Changing input image size, segmentation|
|Aug 1 - Aug 30|Evaluation of AIRBiS software part|
|Sep 1 - Sep 30|Writing Introduction of the master thesis|
|Oct 1st week |Writing Background and Motivation|
|Oct 2nd week |Writing Related works and Software part|
|Oct 18, 2021 |Submission of the theme for master's thesis to SAD|
|Oct 3rd week |Writing Hardware part|
|Oct 4th week |Writing UI part and Conclusion|
|Nov 1st week |Reading the paper of UI, especially how to use SQL|
|Nov 2nd week |Review and functional design of functions required for UI|
|Nov 3-4 week |Implementing the patients Database|
|Dec 1st -|Connecting UI-Hardware|
|Dec 3-4 week |M Thesis Improvement|
|Dec 6, 2021 |Submission the thesis drafts to the referees|
|Jan 1st-2nd week |Experimental results Review and optimization of the data set|
|Jan 3rd-4th week |Creating MT presentation slides|
|Jan 28, 2022 |Submission Final MT|
|Feb 10, 2022 |Presentation of MT|
CENTER:COLOR(red){''Schedule last Updated on: 06/01/2022''}
*Research Progress [#m562b08f]
- [[June progress >https://drive.google.com/file/d/1Gg5lQy0A7LHpF0Eaw6fMT5i_l3k8EA5r/view?usp=sharing]]
--MEMO: investigation of the U-Net
--(English)[[https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/]]
--(Japanese)[[https://lp-tech.net/articles/hzfn7]]
- [[July progress >https://drive.google.com/file/d/14X9gjPU2jcOHx0DymljPMFoypdy9NE5H/view?usp=sharing]]
Subsequent progress --> [[AIRBiS Minutes]]
*References [#f5a18ef1]
-[[My Shared Google Drive Folder>https://drive.google.com/drive/folders/1NZ4FjBIewY7T6a8q11E6WhQIUYSWTf4O?usp=sharing]]
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