Digimizer

PostDICOM is a cloud-based, zero-footprint DICOM viewer and medical image management solution that allows users to view, store, and share DICOM files easily through any modern web browser. It supports a wide variety of modalities including CT, MRI, ultrasound, PET, and X-ray, and enables users to access studies from anywhere without the need for additional software installations. PostDICOM includes robust features such as 2D and 3D image viewing, MPR (multiplanar reconstruction), and image fusion. Users can annotate images, take measurements, adjust brightness/contrast, and apply window leveling. It also offers a teaching file management system for educational purposes, enabling users to create and manage teaching cases. With PostDICOM, medical professionals can collaborate through shared workspaces and control access permissions for other users. It includes tools for patient data anonymization and complies with HIPAA standards to ensure data security and privacy.

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.