Tags Computer Vision
Related Solutions
Predictive Diagnosis and CDC
AI solutions for diagnosis and clinical decision support. We help develop solutions in oncology, ophthalmology, hematology and others. Our expertise in AI for healthcare enables us to understand and tackle challenges in various therapeutical areas, using different datasets and sources.
Laboratory Automation
Solutions to accelerate and improve the analysis of images, sequences, documents, samples and other kinds of clinical data. Our technologies enable laboratory operators and analysts to easily process large amounts of data, and immediately extract insights or detect patterns.
Related Use Cases
Using AI for blood cell analysis and hematology
Detect, count, and classify individual blood cells with Artificial Intelligence
Embedding artificial intelligence into Medical Devices
Power precision medicine and expand the capabilities of your medical devices with Artificial Intelligence (AI)
Surgery Optimization with AI
Minimize the risk of potential surgery complications and improve patients surgical outcomes with Artificial Intelligence (AI)
Related Insights
Thu 12 Aug 2021
AI for Breast Cancer Detection using whole-slide images
Step-by-step approach from data selection, cleaning and augmentation to training of a deep neural network for segmenting whole-slide images and counting nuclei.
Tue 22 Dec 2020
How Computer Vision is transforming different industries
Discover how Computer Vision is transforming transportation and logistics, health, manufacturing, and security
Tue 10 Nov 2020
The process of data augmentation - Part II
Discover how to perform data augmentation, the related challenges, and how to resolve them
Tue 27 Oct 2020
What is Data Augmentation in Machine Learning - Part I
Discover what is data augmentation in Machine Learning, and how it can help solve the problem of imbalanced and/or insufficient dataset
Thu 08 Oct 2020
How is Artificial Intelligence used in cardiology?
Discover the uses of Artificial Intelligence in monitoring and preventing cardiovascular diseases in patients
Mon 07 Sep 2020
The use of Artificial Intelligence in Biomedical Imaging
Artificial Intelligence (AI) is disrupting the field of biomedical imaging. Let's discover why.
Thu 30 Apr 2020
5 Pharma companies using Artificial Intelligence
We take a look at the implementation of Machine Learning in five pharmaceutical companies and examine the AI applications for each company individually
Sun 22 Mar 2020
Short overview of Machine Learning techniques
In this article we cover four major types of machine learning techniques, we explain their applications and help you differentiate them
Fri 06 Mar 2020
Difference between Data Science, Machine Learning and AI
We help in understanding the difference between DS, ML and AI and when to use each of them
Mon 03 Feb 2020
AI trends in 2020: our selection
What can we expect from AI in 2020
Fri 15 Nov 2019
AI Applications in Pharma and Biotech
Over the last years, the use of Artificial Intelligence in pharma and biotech industry is redefining how scientists develop new drugs, tackle disease and more
Sun 20 Jan 2019
Identifying and tackling the challenges of Machine Learning
One of our experts explains you how to identify and tackle common challenges within Machine Learning
Related News
Tue 19 Apr 2022
Pediatric acute lymphoblastic leukemia: New collaboration
In partnership with the Lyon University Hospital, Kantify is launching a project using Artificial Intelligence to identify leukemia cells (ALL)
Tue 21 Dec 2021
Watch the webinar recording on AI and cardiology in practice
Due to demand from our audience, the webinar AI in cardiology: detection and prediction of pathologies is now available for everyone