pineal-gland 发表于 2025-3-26 21:56:16
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Soft-Split Random Forest for Anatomy Labeling,ns made in the interior nodes, also called splitting nodes. The splitting nodes assign a testing sample to . left . right child based on the learned splitting function. The final prediction is determined as the average of label probability distributions stored in all arrived leaf nodes. For ambiguou连锁 发表于 2025-3-27 07:18:41
A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation,d. In this work, we introduce a new image dataset along with ground truth diagnosis for evaluating image-based cervical disease classification algorithms. We collect a large number of cervigram images from a database provided by the US National Cancer Institute. From these images, we extract three tFLINT 发表于 2025-3-27 10:47:49
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Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity y take an edge-based approach with the aim of identifying discriminative connections. In this paper, we explore a node-based Gaussian Graphical Model (NBGGM) that facilitates identification of brain regions attributing to connectivity differences seen between a pair of graphs. To enable group analys镇痛剂 发表于 2025-3-27 21:06:18
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,Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer’s Disease,AD) and its prodromal stage mild cognitive impairment (MCI). In order to fuse data from multiple modalities, most previous approaches calculate a mixed kernel or a similarity matrix by linearly combining kernels or similarities from multiple modalities. However, the complementary information from mu剥削 发表于 2025-3-28 11:40:00
HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptorof autoimmune diseases by finding antibodies in the patient serum. Generally, the method used for IIF analysis remains subjective, and depends too heavily on the experience and expertise of the physician. This study aims to explore an automatic HEp-2 cell recognition system, in which how to extract