有助于 发表于 2025-4-1 03:31:19
https://doi.org/10.1007/978-1-349-27063-7cell growth in lungs is of great importance. The main challenges inherently linked with such data analysis are: local contrast changes related to tissue depth, lack of clear object boundaries due to the presence of noise, and cluttering with motion artefacts due to translational shift of the specimeANT 发表于 2025-4-1 05:59:12
Labour Worldwide in the Era of Globalizationor large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixelPACT 发表于 2025-4-1 10:55:25
http://reply.papertrans.cn/19/1881/188053/188053_63.pngmicroscopic 发表于 2025-4-1 14:38:13
http://reply.papertrans.cn/19/1881/188053/188053_64.pngInfant 发表于 2025-4-1 22:16:51
978-3-319-08553-1Springer International Publishing Switzerland 2014hyperuricemia 发表于 2025-4-1 23:20:10
Fast, Simple, Accurate Multi-atlas Segmentation of the Brainom volumetric T1-weighted MRI images. A fully automatic multi-atlas registration based segmentation approach is used to label novel data. We use a standard affine registration method combined with a small deformation (non-diffeomorphic), non-linear registration method which optimises mutual informat