THE PROBLEM
Biopsy is crucial for diagnosing diseases like cancer, but manual analysis by pathologists is time-consuming, subjective, and prone to error. Interpretation variability can lead to misdiagnosis, affecting treatment. A more accurate and efficient diagnostic tool is needed to support healthcare professionals
HOW IT WORKS
Tissue Sample Detection and Analysis
Our AI solution leverages deep learning models combined with advanced image processing techniques to analyze biopsy samples. The system scans and detects abnormal tissue structures, highlighting potential areas of concern with high precision.
By generating bounding boxes around regions of interest and classifying tissue abnormalities, the AI model assists pathologists in identifying malignancies with greater speed and reliability.
HOW IT WORKS
Segmentation and Abnormality Detection
After detection, the system segments tissue components, isolating them for detailed cell analysis. This helps differentiate benign from malignant tissues.
The AI model detects irregular cell structures, atypical nuclei, and abnormal growth, offering insights that improve biopsy accuracy.
HOW IT WORKS
Automated Classification of Tissue Anomalies
Using a deep learning classifier, the system categorizes biopsy samples based on predefined pathological features. The AI model distinguishes between normal, precancerous, and malignant tissue with high accuracy.
By minimizing the risk of human error and reducing analysis time, this AI-powered biopsy assistant provides reliable diagnostic support, enabling faster decision-making for healthcare professionals.
SUMMARY
Our AI assistant improves biopsy diagnostics by automating tissue analysis, increasing accuracy, and reducing processing time. This solution supports healthcare professionals with precise insights, leading to better patient outcomes. AI in biopsy enhances early disease detection and supports more effective treatment strategies.
