AI Medical Imaging

Intelligent Medical Image Segmentation and Assisted Interpretation

Build a medical image from data to clinical to landable AI solution.

Showcasing the smart separation and assistive interpretation of medical images
01

Solution Overview

Auto-separation, classification and quantification of ct, MRI, pathology and micro-images based on in-depth learning and multi-modular integration techniques, as well as interpretable recommendations for supporting clinical diagnosis and scientific analysis.

Multimodular SupportCT / MRI / Pathology / Ultrasound, etc.
High Precision SplitDice / IoU indicator optimization
Explanatory AIThermal effort and uncertainty assessment
Compliance securityData desensitization and permission management
02

Applications

  • Medical images of pulmonary knots, neoplasms, scaffolds, etc.
  • Automark organ boundaries, disease stove areas and key tissues
  • Pathological slice cell and tissue recognition analysis
  • Image follow-up, efficacy assessment and scientific data statistics
  • Video modelling training on data governance and visual delivery
Multi-source medical video data access, CT, MRI, pathology and ultrasound
Data access
CT Pulmonary Conjunction Schema
CT Pulmonary Conjunction
MRI Diagram of brain tumors
MRI brain tumor partition
Pathological tissue recognition map
Pathological tissue recognition
03

Overall process

1. Data accessImage Collection
Data Import
2. Data governanceClean Tabs
Standardization
3. Model trainingAlgorithm training
Supersync Optimization
4. Model assessmentPerformance assessment
Explanatory analysis
5. Results applicationVisual presentation
Auxiliary interpretation
6. Deployment deliverySystem integration
Organisation
04

Technical modules

  • Multi-modular integration:2D/3D CNN, Transformer, etc. advanced models to enhance the fragmentation of complex scenes.
  • Explanatory:Provide heat effort, uncertainty estimation and error sample analysis to enhance clinical trust.
  • High performance training:Support large-scale parallel training and reasoning acceleration to meet R & D and deployment needs.
  • Compliance security:Support for data desensitization, authority classification, process recording and secure delivery.
05

Project value

Reduced manual label pressureImproving image processing efficiency and consistency
Supplementary scientific analysisConvert image features into statistics
Enhance outcome interpretationOutput heat seeking and uncertainty information
Easy to deploy it.Continuously optimized models based on feedback from data
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