Apps tagged with 'Image Segmentation'

ITK-SNAP is a free, open-source, multi-platform software application used to segment structures in 3D and 4D biomedical images.

Fiji is an image processing package—a "batteries-included" distribution of ImageJ, bundling a lot of plugins which facilitate scientific image analysis.

SAM 2 is the first unified model for segmenting objects across images and videos. You can use a click, box, or mask as the input to select an object on any image or frame of video.

Materialise Mimics is software specially developed by Materialise for medical image processing. Use Mimics for the segmentation of 3D medical images (coming from CT, MRI, micro-CT, CBCT, 3D Ultrasound, Confocal Microscopy).

InVesalius generates 3D medical imaging reconstructions based on a sequence of 2D DICOM files acquired with Computed Tomography or Magnetic Resonance images equipments.

Split multiple pictures into specified number of slices by rows and columns or into tiles of desired size. Use over 130 Actions like resize, crop, contrast, etc. Convert to/from and save results in any of 30+ formats. Add watermarks and more!.

Online tool for AI-enhanced medical image segmentation of radiological images (CT and MRI). Works with DICOM and NIfTI using Chrome.

Unlock powerful image segmentation with the Segment Anything Model (SAM) API! Simply send an image encoded in Base64 to tap into SAM’s advanced capabilities for accurate object segmentation, perfect for design, AI, and medical imaging.

Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in...