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- research-articleNovember 2024
Automatic segmentation and classification of Papanicolaou-stained cells and dataset for oral cancer detection
- Maikel M. Rönnau,
- Tatiana W. Lepper,
- Igor C. Guedes,
- Ana L.F. Espinosa,
- Pantelis V. Rados,
- Manuel M. Oliveira
Computers in Biology and Medicine (CBIM), Volume 180, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.108967Abstract Background and Objective:Papanicolaou staining has been successfully used to assist early detection of cervix cancer for several decades. We postulate that this staining technique can also be used for assisting early detection of oral cancer, ...
Highlights- CNN model for segmenting and classifying oral cells in Pap-stained images.
- Dataset of 1,563 Pap-stained images from 52 patients, annotated by specialists.
- First automatic solution for both cell and cell cluster classification in ...
- research-articleSeptember 2021
Real-time simulation of accommodation and low-order aberrations of the human eye using light-gathering trees
The Visual Computer: International Journal of Computer Graphics (VISC), Volume 37, Issue 9-11Pages 2581–2593https://doi.org/10.1007/s00371-021-02194-3AbstractWe present a real-time technique for simulating accommodation and low-order aberrations (e.g., myopia, hyperopia, and astigmatism) of the human eye. Our approach models the corresponding point spread function, producing realistic depth-dependent ...
- research-articleJuly 2016
Preserving geometry and topology for fluid flows with thin obstacles and narrow gaps
ACM Transactions on Graphics (TOG), Volume 35, Issue 4Article No.: 97, Pages 1–12https://doi.org/10.1145/2897824.2925919Fluid animation methods based on Eulerian grids have long struggled to resolve flows involving narrow gaps and thin solid features. Past approaches have artificially inflated or voxelized boundaries, although this sacrifices the correct geometry and ...