- Anomaly detection
- Status estimation
Detect and analyze lymph node metastasis in gastric cancer patients using pathology images
Assists in the diagnosis of lymph node metastasis in gastric cancer patients, and lessens the burden on pathologists.
- Achieves accurate predictions using an original technology for efficiently building metastasis detection models.
- Confirmed the ability to recognize metastasis on the same level as a pathology specialist; currently working toward real-world applications.
Applications
- Assists in various types of pathological diagnoses.
Benchmarks, strengths, and track record
- Confirmed detection accuracy on a practical level.
- Patent pending for high accuracy model construction technology
Inquiries
Toshiba Digital Solutions Corporation
Toshiba analytics AI service “SATLYS” (in Japanese)
References:
- “Study on high-speed diagnosis of lymph node micro-metastasis in gastric cancer patients using machine learning”, Japanese Society for Sentinel Node Navigation Surgery, 2018 ST1-10
- "Application of computer based diagnosis of metastasis based on deep learning to sentinel lymph node navigation for gastric cancer", International Sentinel Node Society Biennial Meeting 2018 P-13-4
- “AI image analysis to assist pathologists” (Toshiba Digital Solutions Corporation) (in Japanese)
- “Deep learning as a tool to predict and detect lymph node metastasis in gastric cancer patients”, Annual Meeting of the Japanese Gastric Cancer Association, 2019 WS6-5
- “AI image analysis technology to assist pathologists”, Toshiba Review, VOL. 74, No. 2, 2019 (in Japanese)
- “Digitalization of pathologists’ knowledge by data scientists: Supporting gastric cancer pathology diagnoses using deep learning technologies” (Toshiba Digital Solutions Corporation) (in Japanese)
- “Testing lymph node metastasis predictions in gastric cancer patients using AI”, Annual Congress of Japan Surgical Society, 2019 WS20-6
