GTC Taiwan 2017 CUDA 加速先進影像分析技術與深度學習於臨床電腦斷層掃瞄肝細胞腫瘤輔助診斷
1. 人工智慧醫學診斷中心
AI Center for Medical Diagnosis
CUDA加速先進影像分析技術與深度學習
於臨床電腦斷層掃瞄肝細胞腫瘤輔助診斷
AI-assisted Diagnosis of Hepatocellular Carcinoma
using CUDA Radiomics and Deep Learning
林仰賢 游家鑫
2. • Background
– Hepatocellular Carcinoma
– Exams and Diagnosis
• Radiomics
– Acceleration
• Unmet Clinical Need
• Deep Learning in Hepatocellular Carcinoma
• Future Works
2
Agenda
GTC Taiwan 2017
3. Hepatocellular Carcinoma (HCC)
• Background
• Material and Methods
– Optical Setup
– Phase Retrieval
• Results
• Conclusion • Radiographic Imaging
– Ultrasound
– Computed Tomography (CT)
– Magnetic Resonance Imaging (MRI)
– Angiography
GTC Taiwan 2017
3
Hepatitis B Virus
Hepatitis C Virus
Alcohol
NASH
Aflatoxin
5. • Diagnostic algorithm for suspected HCC
5
Diagnostic Criteria
Liver Nodule
< 1cm > 1cm
Repeat US at 3 months
Growing/changing Character Stable
Investigate according to size
4-phase MDCT/dynamic contrast enhanced MRI
Arterial hypervascularity AND venous or
delayed phase washout
Other contrast enhanced study (CT or MRI)
Arterial hypervascularity AND venous or
delayed phase washout
Yes
HCC
No
No
Biopsy
Yes
GTC Taiwan 2017
AASLD practice guideline (2017)
12. 12
Radiomics and Machine Learning
GTC Taiwan 2017
Medical Image Radiomics Features Classifier
Metastasis Accuracy: 94%(5-Fold)
13. 13
Why we need deep learning
GTC Taiwan 2017
HCC
Diagnoses
Follow-up
3 - 6 months
Curative
Treatment
20 Cases
per day
Less More
Miss Rate 7% 15%
HCC
Recurrence
(within 2 years)
Metastasis
(within 5 years)
After Curative
Treatment 70% 90%