[Ideas] Hybrid, explainable AI for medical imaging @TelecomParisTech1
[Ideas] Hybrid, explainable AI for medical imaging  @TelecomParisTech1
Uploaded October 2024 | Updated September 2026, 1 week ago
Isabelle Bloch, professor at Télécom Paris and a specialist in mathematical modelling for artificial intelligence, talks to us about her research into hybrid and explainable AI, which combines knowledge-based approaches with data-based learning methods.

- Hybridization: towards systems that work with limited and more explicable data
- Segmentation and recognition in medical imaging
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[Ideas] Hybrid, explainable AI for medical imaging

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