Aiforia Create is made for seamless use by the medical professional to create and use AI models to increase the speed and accuracy of any image analysis application.
The patented Aiforia Annotation Assistant tool utilizes active learning, a highly sought-after technique in artificial intelligence, to increase the speed and accuracy of AI model training.
The powerful instance segmentation feature enables object detection and semantic segmentation to be performed simultaneously to detect and delineate each distinct object of interest. Particularly useful in the case of overlapping.
This AI feature enables you to further reduce the amount of annotations needed to create a new deep learning AI model by allowing you to use an already existing model and its annotations.
Our tools for external validation give the end user an easy interface to define validation sets and for collecting validation annotations. The tools also provide a convenient way to invite colleagues or consultants to give blinded scoring or diagnosis according to intended use criteria.
Find out more about Aiforia’s multi-channel image analysis capabilities for immunofluorescent (IF) images and more with example images and videos.
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Creation of an AI model to quantify and localize Clever-1 protein in the tumor microenvironment at Faron Pharmaceuticals.
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AI-assisted segmentation of colorectal carcinoma digitized images to identify prognostic and predictive histologic signatures.
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Identification and enumeration of hematopoietic cells to monitor bone marrow cellularity changes for pharmacologic safety studies.
Automating neuron quantification in preclinical studies of Parkinson's disease at Sanofi.
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AI-assisted identification of the most characteristic markers of Alzheimer's disease and cerebral amyloid angiopathy.
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