Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation
Author:
Affiliation:
1. University of Salerno,DISA-MIS,Fisciano,Italy,84084
2. IRCAD, Strasbourg, France and Kigali,Rwanda,Africa
3. ValueBioTech, Surgeon and founder of ValueBioTech, Piazza dell'Ospedale Maggiore 3,Milano,Italy,20162
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892345.pdf?arnumber=9892345
Reference20 articles.
1. XAI-CBIR: Explainable AI System for Content based Retrieval of Video Frames from Minimally Invasive Surgery Videos
2. A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
3. The status of augmented reality in laparoscopic surgery as of 2016
4. StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy
5. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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