Damien BLANC validated his PhD on Ovarian Cancer with Deep Learning
Damien started with Quantacell in September 2018 and his work has primarily focused on the domains of deep learning and image segmentation.
Damien has successfully defended his PhD thesis on 9-Dec-2022.
Quantacell is very happy with his achievements
SUMMARY: Damien’s work primarily deals with the use of automatic methods based on artificial intelligence under the different contexts of biomedical imaging. The main objective of his work was to investigate to what extent deep learning models (DL) can be utilised towards the solving of concrete clinical problems. In particular, Convolutional Neural Networks (CNNs) were highlighted, whose architecture is specifically adapted to the recognition and segmentation of objects in visual data such as images or videos.
Interested in softwares or services?
Software for histological samples and TMA
Automatically detects and quantifies your histological slides easily, without requiring bioinformatics expertise. IHC/Fluorescence/Deep learning
Software for organoid, spheroid and 3D cell culture and tissue
Automatic 3D segmentation and high-content screening analysis software to navigate your assays and monitor drug effects
Services of analysis and characterization
- Image analysis in patients studies
- Characterization of drug/compounds effects
- Automatic detection of rare events
Software development for biomedical imaging
- Customized software solutions with ergonomics UIX
- AI for automatic analysis
- Industrialization of analyses in laboratories
QuantaCell, Campus Balard, IHU
Contact
+33 (0) 9 83 33 81 90
300 av. du Pr Emile Jeanbrau
34090 Montpellier, France