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ANNOTATION

Annotation is the precise identification and labeling of anatomical structures in (medical) images. MATHELIOS ANNOTATIONS delivers anatomically accurate, consistent annotations, tailored to your research or development needs, with careful consideration of anatomical variability and clinical context.

3D SEGMENTATION

Segmentation is the delineation of anatomical structures at the pixel or voxel level, producing precise 2D and 3D representations that enable quantitative analysis, volumetry, and AI model training. Our core expertise lies in manual segmentation of brain anatomy and pathology, with experience extending across other body regions and organ systems.

EXPERT HUMAN-IN-THE-LOOP

Automated segmentation algorithms can produce solid initial results, but the final five to ten percent often requires expert manual refinement to meet research or clinical standards. MATHELIOS ANNOTATIONS provides human-in-the-loop review and correction of algorithmic outputs, ensuring anatomical accuracy and consistency across datasets.

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FIGURE 1. EXAMPLE ANATOMICAL ANNOTATION OF A CORONAL ABDOMINAL CT IMAGE IN A SUBJECT WITHOUT PATHOLOGICAL FINDINGS. 

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FIGURE 2. EXAMPLE VOLUMETRIC 3D SEGMENTATION OF AN EPIDURAL HEMATOMA IN A PATIENT WITH TRAUMATIC BRAIN INJURY.

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FIGURE 3. EXAMPLE HUMAN-IN-THE LOOP CORRECTION (INSET) OF AUTOMATED SEGMENTATION OF LEFT ILIACUS MUSCLE ON ABDOMINAL CT.

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