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DICOM image to 3D model

CT Scan Imaging: Advanced Technology for Accurate Detection and Classification of Regions of Interest (ROI)

Computer tomography scans have very different types of images when it comes to AI and object detection.  Unlike most of the datasets computer tomography data contains:

  • Class imbalance - small size and the comparative rarity of the tumors and another object of interest 

  • The high volume of 2D of pixels in the data

  • Very large 3D volume (30x larger then of the typical 3D datasets)

  • Deformability of the images (tumors) - they do not have regularized form and are much less ridged

  • Priors:  associated patient information. 

  • Tracking of the ROI in the 3D CT space

X-ray imaging

Several studies have reported that AI-based systems can be used to detect COVID-19 in chest X-ray images such as COVID-Net.  


AI  can now detect abnormal chest X-rays with accuracy that matches that of professional radiologists

With enough expertly labeled data, AI can learn from raw data and automatically discover anomalies needed for detection or classification.

X-ray Lung Image
CV created 3D model from DICOM image
3D model of Lung Outlines dcreted from DICOM File

 Transform your CT images into 3D models with the power of AI technology

Get a clear understanding of your CT scans with 3D modeling using AI technology.

Our state-of-the-art solutions can convert hard-to-understand images into an interactive 3D model, even for specialized CT scans.
Our team of experts can also assist in automating computer vision applications and provide support for data collection, labeling, manipulation, and preprocessing for any machine learning module. Choose IPD Scientific for your data analytics needs.

Lung Segmentation Image

Medical imaging AI applications

  • "ROI Detection and Classification in X-ray Imaging using AI technology.

  • Improve image quality with motion correction and enhance the resolution of distorted scans.

  • Utilize AI for accurate segmentation and tracking of regions of interest.

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