在這段時間,參與了以下與圖像處理/深度學習相關的項目的經驗:
1.肝/腫瘤語義分割網絡:
-與醫院合作開發肝臟疾病識別系統(已在南港展覽館展出)
-使用3D語意分割網路識別出五種不同的疾病區域
-處理各種醫療影像格式(DICOM, NII)
2.以隊長身分組團參與過公司舉辦的金頭腦競賽,發想的寶寶攝影機得到第三名
-Raspberry pie上開發一個影像分類系統。
-學習到AIOT上的分工合作與創業的發想模式。
3.改進人臉識別系統的神經網絡。
-原來的團隊使用openface,在不做架構的大幅度調整下,使用fine-turning技術讓Network能fit較小群體的dataset
During this time, I participated in the following projects related to image processing/deep learning:
1. Liver/tumor semantic segmentation network:
- Cooperate with a hospital to develop a liver disease recognition system (has been exhibited in Nangang Exhibition Hall)
-Using a 3D semantic segmentation network to identify five different disease areas
-Processing various medical image formats (DICOM, NII)
2. As a team leader, I participated in the company's Golden Mind competition, and the baby camera project won the third place.
-Develop an image classification system on Raspberry pie.
-Learn the division of labor and cooperation on AIOT and the thinking model of start a business.
3. Improving the neural network for the face recognition system.
-The original team used openface, without major adjustments to the architecture, using fine-turning technology to allow the Network to fit smaller groups of datasets
I participated in the Golden Mind competition organized by the company as a team leader. The proposal of baby camera won the third place. I learned the AIOT division of labor and entrepreneurship mode.