TaiHao Medical Inc. | AI/ML Engineer - Medical Imaging
Soochow University | Bachelor of Science in Physics
+886 988620772
(TensorFlow, Keras, Pytorch)
#Python #Software Programming #C++
#Python #Linux #Software Programming
#Python #Software Integration Test #Function Test
#C++ #LabVIEW #Visual Studio
#iOS #SWIFT #Software Programming
Aug 2020 - Present
1. Develop the AI that automatically detects the location of breast ultrasound lesions.
2. Optimize the AI model. By improving the sensitivity and decreasing the FP (False Positive). Moreover, accelerate the software programming.
3. Deploy the AI model to other system environments.
4. Develop an API for breast ultrasound computer-aided detection. Collaborate with front-end engineering and assist in software integration to productized service software.
5. Collaborate with foreign engineers, launching our products abroad.
Mar 2018 - Feb 2019
1. Develop the AI image segmentation model by using machine learning and deep learning.
2. Develop image recognition-related products and applications for the laboratory by using computer vision to detect the specific part.
3. Improve the neural network model to adapt to the high complexity of medical imaging and other related issues.
4. Develop image segmentation and recognition algorithms, and produce a dynamic-link library to integrate into an opto-electro-mechanical system.
TaiHao Medical Inc. | AI/ML Engineer - Medical Imaging
Soochow University | Bachelor of Science in Physics
+886 988620772
(TensorFlow, Keras, Pytorch)
#Python #Software Programming #C++
#Python #Linux #Software Programming
#Python #Software Integration Test #Function Test
#C++ #LabVIEW #Visual Studio
#iOS #SWIFT #Software Programming
Aug 2020 - Present
1. Develop the AI that automatically detects the location of breast ultrasound lesions.
2. Optimize the AI model. By improving the sensitivity and decreasing the FP (False Positive). Moreover, accelerate the software programming.
3. Deploy the AI model to other system environments.
4. Develop an API for breast ultrasound computer-aided detection. Collaborate with front-end engineering and assist in software integration to productized service software.
5. Collaborate with foreign engineers, launching our products abroad.
Mar 2018 - Feb 2019
1. Develop the AI image segmentation model by using machine learning and deep learning.
2. Develop image recognition-related products and applications for the laboratory by using computer vision to detect the specific part.
3. Improve the neural network model to adapt to the high complexity of medical imaging and other related issues.
4. Develop image segmentation and recognition algorithms, and produce a dynamic-link library to integrate into an opto-electro-mechanical system.