Video Annotation

Balancing Innovation & Empathy: The Crucial Role of Human Oversight in AI Medical Video Analysis

What if AI could help clinicians see more in medical videos—without losing the human touch? 🤍That’s where medical video annotation, guided by expert human oversight, is making a real difference. From complex surgeries to diagnostic recordings, medical videos hold critical insights. When carefully annotated, they become powerful assets for learning, care, and discovery. Why Medical …

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Unlock the Full Potential of Medical Videos with Smart Annotation

Medical videos hold an incredible amount of clinical insight—but only if you can truly understand what’s happening in every frame. From complex surgical procedures to rehabilitation sessions, the ability to analyze motion, actions, and critical moments can transform how healthcare teams learn, innovate, and deliver care. That’s where medical video annotation makes the difference. By …

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Unlock the True Potential of Your Medical Videos with Marteck Solutions

Medical videos are a goldmine of clinical insights — every frame tells a story. At Marteck Solutions, we specialize in advanced annotation and labeling services that turn your raw medical videos into actionable intelligence. Our services help healthcare organizations to: âś… Enhance Surgical Precision – Identify and track instruments, tissues, and anatomical structures to support …

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Transforming Endoscopy with Intelligent Video Annotation

Endoscopy plays a vital role in modern diagnostics, enabling clinicians to visualize and detect abnormalities deep within the body. However, the true potential of endoscopic imaging lies in how effectively this visual data is analyzed, interpreted, and converted into clinical value. At Marteck Solutions, we specialize in precise medical image and video annotation that empowers …

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Polyp Detection & Segmentation in Colonoscopy Videos: Advancing AI in Healthcare

Early detection of colorectal polyps is critical in preventing colon cancer. With colonoscopy videos becoming a cornerstone of modern diagnostics, the accurate annotation and segmentation of polyps is essential for developing reliable AI systems that can assist clinicians in real-time. At Marteck Solutions, we specialize in providing high-quality medical image and video annotation services, designed …

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Teaching Machines to Understand Surgery: The Power of Video Annotation

Imagine an operating room where machines can follow every surgical movement with precision — understanding what instrument is being used, which action is being performed, and exactly where it’s happening. This vision is becoming real through surgical video annotation, where every frame is carefully labeled to capture the details of complex procedures. Why it matters: …

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Types of Video Annotations

2D Bounding Boxes: The rectangular boxes are made use of to identify objects, label and to categorize. You need to draw the boxes manually around objects in motion across many frames. The box is placed closer to the edge of the object and labelled correctly for classes and attributes. It helps in the depiction of …

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Role of Medical Transcription to Aid Telemedicine Practices

With conventional medicine, there is a considerable sum of records documentation required. The documentation is imperative as it helps to transmit the systematic records in time among professionals who may be several miles away. Medical transcription in such scenarios plays a crucial part in telemedicine practices. It provides a solution to simplify and quicken this …

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Benefits of Skeletal Annotation

Video annotation helps in the launching of a wide variety of AI systems in the sport and fitness sector. The AI models that are computer-vision enabled can easily interpret the human body’s movements to gather crucial information. Consequently, the applications enhance the performance of both amateurs and professionals training from home. Skeletal annotation mostly targets …

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Video Annotation – Bigger Context to Train the Model

Annotated videos offer bigger context not only to annotators but also to the model it trains. As a result, it helps ML developers to enhance the performance of the network with various techniques such as Kalman and temporal filters. Temporal filters and Kalman filters help the model to add information from the nearest frames for …

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