Unsupervised classification of cell imaging data using the quantization error in a Self Organizing Map

Autor: John M. Wandeto, Birgitta Dresp

Publikováno v: HR Arabnia, K Ferens, D de la Fuente, EB Kozerenko, JA Olivas Varela, FG Tinetti (Eds.), Transactions on Computational Science and Computational Intelligence. Springer-Nature, pp. 201-210.
Springer-Nature. HR Arabnia, K Ferens, D de la Fuente, EB Kozerenko, JA Olivas Varela, FG Tinetti (Eds.), Transactions on Computational Science and Computational Intelligence. Springer-Nature, pp. 201-210., pp.201-210, 2021, 978-3-030-70295-3. ⟨10.1007/978-3-030-70296-0_16⟩
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953

This study exploits previously demonstrated properties such as sensitivity to the spatial extent and the intensity of local image contrast of the quantization error in the output of a Self Organizing Map (SOM QE). Here, the SOM QE is applied to doubl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40aa5054ca038f0892ee6bfe03c808f4
https://hal.archives-ouvertes.fr/hal-03265007

Comparative Evaluation of Mineral Trioxide Aggregate Obturation Using Four Different Techniques—A Laboratory Study

Autor: Venkateshbabu Nagendrababu, Silvia Chamin Lee, Abhishek Isaac Mathew, Giampiero Rossi-Fedele, George Bogen, William N. Ha

Publikováno v: Materials
Volume 14
Issue 11
Materials, Vol 14, Iss 3126, p 3126 (2021)

This study aimed to compare the density of mineral trioxide aggregate (MTA) as a root canal filling material in the apical 5 mm of artificial root canals. Forty transparent acrylic blocks with 30-degree curved canals were instrumented and allocated i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5575c031a289bdb8bc9d4dde81e4fd64

Luminance Attentive Networks for HDR Image and Panorama Reconstruction

Autor: Chengjiang Long, Qin Zou, Wentao Liu, Bo Dong, Chunxia Xiao, Hanning Yu

It is very challenging to reconstruct a high dynamic range (HDR) from a low dynamic range (LDR) image as an ill-posed problem. This paper proposes a luminance attentive network named LANet for HDR reconstruction from a single LDR image. Our method is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e92ec666289667209ee63b9d69db1818

An evaluation of different measures of color saturation

Autor: Matteo Valsecchi, Karl R. Gegenfurtner, Florian Schiller

Publikováno v: Vision Research. 151:117-134

We investigated how well seven saturation measures defined in CIECAM02, HSV, DKL, LAB, LUV, and CIE 1931 xyY color spaces correspond to human perception of saturation. We used a paradigm that allowed us to measure the perceived saturation of several

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d44bdfb003ee9c0bc31015e78d51e800
https://doi.org/10.1016/j.visres.2017.04.012

Perceived brightness with small apertures

Autor: Pablo Artal, Silvestre Manzanera

Publikováno v: Journal of Cataract and Refractive Surgery. 44:734-737

Purpose To quantify the relative perceived brightness when viewing through a small aperture as that used by presbyopic patients with small-aperture corneal inlays or intraocular lenses with an embedded aperture. Setting Laboratorio de Optica, Univers

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38813df527d40141ac2a2e0e2e2591cb
https://doi.org/10.1016/j.jcrs.2018.03.032