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Siemens Healthineers Mammography 3D Model – High-Resolution Medical Asset, FBX, OBJ
Medical

Siemens Healthineers Mammography 3D Model – High-Resolution Medical Asset, FBX, OBJ

by facequad
$58.8

File Formats

Native Format

.max
6.15 MB

Exchange Formats

.obj.autodesk fbx.png.jpg

Features

File & scene

Binary FBX No unsupported objects

Geometry

No N-gons No faceted geometry Manifold geometry Polygon mesh

Textures & material

PBR textures No embed textures Square textures Power of 2 texture sizes Assigned materials

UVs & naming

No UV overlaps UV unwrapped model Allowed characters

3D Features

Textures Materials UV Mapping Plugins Used

Unwrapped UVs

Mixed

Download information

After purchase, you will receive an email within several hours with a download link to access your files.

Description

Discover the high-quality Siemens Healthineers Mammography Mammomat B.brilliant 3D Model, expertly crafted for medical visualizations and simulations. This detailed asset is perfect for professionals in radiology, diagnostics, and medical training.

Featuring realistic textures and materials specifically designed for V-Ray rendering, this model ensures accurate representation and stunning visuals. With a focus on precision, all textures are included and assigned, providing a seamless experience for your projects.

  • File Formats: 3ds Max (with V-Ray), OBJ, FBX
  • High-resolution textures and materials for V-Ray
  • Geometry: Manifold, no N-gons or faceted geometry
  • PBR textures with no embedded textures
  • UV unwrapped with no overlaps
  • Real-world scale in metric (millimeters)

This versatile model is suitable for various applications, including game development, architectural visualization, and medical training simulations. It is ideal for artists, developers, and medical professionals looking to enhance their projects with accurate and visually appealing assets.

Ready for immediate download, this model comes in multiple formats to meet your needs. Get started today!

Tags

cancerdiagnosticsdigitalequipmentimagemammographymedicaloperationradiologyscannersciencesiemenssystemtumorvrayxray