SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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Displaying 20 results
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
Model
A pre-trained SegResNet model for volumetric (3D) segmentation of the 104 whole body segments.
Model
DDH, INC is a digital health company specializing in medical image analytics. DDH has created an analytics platform to automate and simplify the imaging pipeline. Various deep learning models have been integrated using a mesh-network architecture to facilitate evaluation of the entire body for structural and functional information. Until Technology Becomes a Miracle, Thinking only about the life and safety of a person, DDH open up a bright future of medical technology.
Container
A pre-trained model for volumetric (3D) multi-organ segmentation from CT image.
Model
A pre-trained model for the endoscopic inbody classification task.
Model
A pre-trained model for volumetric (3D) detection of the lung lesion from CT image.
Model
A pre-trained model for 3D segmentation of the spleen organ from CT images using DeepEdit.
Model
A pre-trained model for Nuclei Classification within Haematoxylin & Eosin stained histology images.
Model
A pre-trained model for segmenting nuclei cells with user clicks/interactions.
Model
A pre-trained model for the endoscopic tool segmentation task.
Model
A simultaneous segmentation and classification of nuclei within multitissue histology images based on CoNSeP data.
Model
A neural architecture search algorithm for volumetric (3D) segmentation of the pancreas and pancreatic tumor from CT image.
Model
A pre-trained model for automated detection of metastases in whole-slide histopathology images.
Model
A generative model for creating 3D brain MRI from Gaussian noise based on BraTS dataset.
Model
A generative model for creating 2D brain MRI axial slices from Gaussian noise based on BraTS dataset.
Model
VISTA-2D is a comprehensive training and inference pipeline for cell segmentation in imaging applications.
Model
VISTA-3D is a specialized interactive foundation model for 3D medical imaging.
Model
A generative model for creating 3D CT from Gaussian noise.
Model
IBM Corporation
IBM Visual Insights
IBM Visual Insights makes computer vision with deep learning more accessible to business users. The software includes an intuitive toolset that empowers subject matter experts to label, train, and deploy deep learning.
Helm Chart

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