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Titlebook: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging; Second International Bjoern H. Menze,Georg Langs,Anton

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樓主: 古生物學
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發(fā)表于 2025-3-23 10:49:14 | 只看該作者
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發(fā)表于 2025-3-23 17:43:29 | 只看該作者
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發(fā)表于 2025-3-23 19:15:53 | 只看該作者
Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curvesework. Compared to the conventional method, we propose to use neighboring curves for avoiding ambiguity in curve-by-curve labeling and to integrate the labeling results obtained from multiple atlases for consistent labeling. In particular, we compute a histogram of points on the neighboring curves a
14#
發(fā)表于 2025-3-24 00:44:45 | 只看該作者
Fast Anatomical Structure Localization Using Top-Down Image Patch Regression automatic processing of large amounts of data. We present a simple, accurate and fast approach with low computational complexity to find anatomical landmarks, based on a multi-scale regression codebook of informative image patches and encoded landmark contexts..From a set of annotated training volu
15#
發(fā)表于 2025-3-24 03:28:46 | 只看該作者
Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace FiltOne is based on orthogonal subspace filtering where we learn 3-D eigenspace filters from local image patches that return task optimal feature responses. The other uses a specific set of steerable filters that show, qualitatively, similarities to the learned eigenspace filters, but also allow for exp
16#
發(fā)表于 2025-3-24 06:37:18 | 只看該作者
Pipeline for Tracking Neural Progenitor Cellsgery of . cell growth experiments. Segmentation algorithms with the ability to adapt to the problem at hand and robust tracking methods play a key role in constructing these lineages. We present here a tracking pipeline based on learning a dictionary of discriminative image patches for segmentation
17#
發(fā)表于 2025-3-24 10:40:00 | 只看該作者
18#
發(fā)表于 2025-3-24 18:20:25 | 只看該作者
Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classificationorithm, Randomized Forest Sparse Coding (RFSC), by harvesting the following three concepts: (1) ensemble learning, (2) divide-and-conquer, and (3) sparse coding. Given a set of training data, a randomized tree can be used to perform data partition (divide-and-conquer); after a tree is built, a numbe
19#
發(fā)表于 2025-3-24 22:25:16 | 只看該作者
Context Enhanced Graphical Model for Object Localization in Medical Imagesoaches tackling this problem, and focus on the work by Song et.al. [20]. In [20], a new graphical model with additional contrast and interest-region potentials is designed, encoding the higher-order contextual information between regions, on the global and structural levels. A discriminative sparse-
20#
發(fā)表于 2025-3-25 00:38:05 | 只看該作者
lly no substantial electronic overlap between the molecules1; interactions are based on mere van der Waals forces in the very large class of neutral molecular crystals (or on a combination of van der Waals and local [closed shell] Coulombic interactions in the barely studied class of ionic organic c
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