2 papers
eess.IV2025
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator
Florian Robert, Alexia Calovoulos, Laurent Facq +4
Accurately segmenting and individualizing cells in SEM images is a highly promising technique for elucidating tissue architecture in oncology. While current AI-based methods are ef…
eess.IV2024
CT evaluation of 2D and 3D holistic deep learning methods for the volumetric segmentation of airway lesions
Amel Imene Hadj Bouzid, Baudouin Denis de Senneville, Fabien Baldacci +4
This research embarked on a comparative exploration of the holistic segmentation capabilities of Convolutional Neural Networks (CNNs) in both 2D and 3D formats, focusing on cystic…