Deep Learning Bootcamp: Getting Started with the MONAI Medical Imaging AI Library, Sept 30-Oct 2, 2020
First-ever ‘MONAI Bootcamp’ from September 30 to October 2, 2020 – participation is free! … Read More
Posts tagged "Deep Learning"
Kitware Invited to Present VIAME Overview and Tutorial During the 2nd NOAA Workshop on Leveraging AI in Environmental Sciences
Kitware is proud to be involved in the 2nd NOAA Workshop on Leveraging AI in Environmental Sciences. According to NOAA, the goal of the workshop … Read More
GEOINT 2020 Lightning Talk: Top 10 Tips and Tricks for Visual Data Labeling
The GEOINT Symposium is held annually by the United States Geospatial Intelligence Foundation (USGIF). Though the event was canceled this year due to COVID-19, there … Read More
Kitware at CVPR 2020: Papers, Service Roles and Sponsorship
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is the world’s premier annual computer vision event. At CVPR, you will find the largest … Read More
Advances in Simplifying Medical Ultrasound – a full-day MICCAI 2020 workshop
Kitware is helping to organize the Advances in Simplifying Medical Ultrasound workshop at MICCAI 2020. … Read More
Project MONAI Launches Open Source Artificial Intelligence Framework for Medical Research
Project MONAI (Medical Open Network for AI) is an initiative lead by NVIDIA and King’s College London to which Kitware is a contributor. The purpose … Read More
ITK simplifies integrating your C++ algorithms into Python for AI R&D
You’re making great strides in your AI research using PyTorch, TensorFlow, scikit-learn, and other Python libraries; but for years you’ve been developing algorithms in C++; … Read More
Kitware’s Matthias Kirchner and Cameron Johnson Receive Best Paper Award at IEEE Workshop
Kitware is excited to announce two members of our Computer Vision Team received the Best Paper Award at the IEEE Workshop on Information Forensics and … Read More
Cell Nuclei Detection on Whole-Slide Histopathology Images Using HistomicsTK and Faster R-CNN Deep Learning Models
Abstract In this blog post, we report our work using faster R-CNN based deep learning models for nuclei detection in whole slide histology images. We … Read More
Diagnosis of Adenocarcinomas in Histology Images Using Persistence Homology and Deep Learning
Differentiability and topological characteristics of the glandular structures is one of the key factors in the diagnosis and grading of adenocarcinomas through histology images. We … Read More