Artificial Intelligence Solutions in Pharma by RSIP Vision
"AI in Pharma" webinars
Deep Learning for the Segmentation, Classification, and Quantification of Dendritic Cells
If you missed it, press here and watch it on RSIP Vision's YouTube Channel
Automated RECIST Measurement
The golden standard for measuring tumors is the RECIST score. RSIP Vision developed an automated module to accurately measure the RECIST score from CT scans as well as the exact 3D volume of the tumors. Changes in volume are a reliable measure of the progression or remission of the tumor, enabling to evaluate the responsiveness of the treatment in a relatively short time. Read More...
AI in Fluoroscopy
Multispectral fluoroscopy is one of the most useful techniques for tissue analysis; this is true also in biopsies. RSIP Vision has developed strong tools to enable cell separation and dot counting for use in this set of analysis.
AI in Histology / Histopathology
RSIP Vision has experienced the great AI revolution on many medical projects. One of the biggest changes came in the histopathology area, where traditional tools of images analysis were not accurate enough to solve the problem of classification. Strong deep learning networks, properly trained and with proper pre- and post-processing, have given exceptional results in this field of research.
Image Analysis in Pharma
Every pharma company needs dozens of different needs in the area of image analysis to assess the results of different treatments and drugs. RSIP Vision developed application for different areas to help researchers get accurate measurement with flexible requirements.