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Machine Learning, OCT Combine to Detect Early-Stage Colon Cancer

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Researchers at Washington University in St. Louis are developing a deep learning-based pattern recognition (PR)-OCT system that will automate image processing and provide accurate, computer-aided diagnosis of colorectal cancer potentially in real time. The technique combines OCT and deep learning to detect patterns in the images of normal and abnormal tissue samples. The researchers began using OCT in 2017 as a research tool to image samples of colorectal tissue removed from patients at the Washington University School of Medicine. Yifeng Zeng, a biomedical engineering doctoral student,...Read full article

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    Published: December 2019
    Glossary
    optical coherence tomography
    Optical coherence tomography (OCT) is a non-invasive imaging technique used in medical and scientific fields to capture high-resolution, cross-sectional images of biological tissues. It provides detailed, real-time, and three-dimensional visualization of tissue structures at the micrometer scale. OCT is particularly valuable in ophthalmology, cardiology, dermatology, and various other medical specialties. Here are the key features and components of optical coherence tomography: Principle of...
    deep learning
    Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
    machine learning
    Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
    Research & TechnologyeducationAmericasWashington University in St. Louisoptical coherence tomographyOCTImagingOpticsdeep learningmachine learningmedical imagingmedicalcancercolorectal cancerpattern recognitionPR OCTRetinaNetoptical biopsyBioScan

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