过去一年中添加的文章，按日期排序
Ischemic stroke infarct segmentation model based on depthwise separable convolution for multimodal magnetic resonance imaging
Y Jin, M Wang, J Chen, Y Li - … wu yi xue gong cheng xue …, 2024 - pubmed.ncbi.nlm.nih.gov
12 天前 - … The proposed algorithm in this paper achieves Dice similarity coefficient (DSC),
Hausdorff distance (HD), sensitivity (SEN), and precision (PRE) scores of 0.816 5, 3.668 1, …
Hausdorff distance (HD), sensitivity (SEN), and precision (PRE) scores of 0.816 5, 3.668 1, …
Sensitivity Assessing to Data Volume for forecasting: introducing similarity methods as a suitable one in Feature selection methods
M Goldani Soraya Asadi Tirvan - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
26 天前 - … This study focuses on evaluating the stability of feature selection techniques with …
feature selection methods including variance thresholds, edit distance, and Hausdorff distance …
feature selection methods including variance thresholds, edit distance, and Hausdorff distance …
Clustering-Based Partitioning of the Network Nodes Using Dynamic Responses and Global Distances
30 天前 - … Feature selection is a crucial aspect for determining the nature of … features are
suggested in this paper by considering global distance indicators, such as the Hausdorff distance …
suggested in this paper by considering global distance indicators, such as the Hausdorff distance …
Evaluating Feature Selection Methods for Macro-Economic Forecasting, Applied for Inflation Indicator of Iran
M Goldani - arXiv preprint arXiv:2406.03742, 2024 - arxiv.org
30 天前 - … explores various feature selection … feature selection methodologies. The study
distinctly highlights the efficiency of Stepwise Selection, Tree-based methods, Hausdorff distance, …
distinctly highlights the efficiency of Stepwise Selection, Tree-based methods, Hausdorff distance, …
A New Point Cloud Simplification Algorithm Based on VP Container Constraint and Normal Vector Angle Information Entropy
wei zhu, W Li, L Liu, J Li, C Lv - Measurement Science and …, 2024 - iopscience.iop.org
31 天前 - … second operation, a point from the seed point set was selected as the starting point
for the … approximately 0.03 from the Hausdorff distance respectively. The simplification time …
for the … approximately 0.03 from the Hausdorff distance respectively. The simplification time …
Sensitivity Assessing to Data Volume for forecasting: introducing similarity methods as a suitable one in Feature selection methods
MGSA Tirvan - arXiv preprint arXiv:2406.04390, 2024 - arxiv.org
31 天前 - … This study focuses on evaluating the stability of feature selection techniques with …
feature selection methods including variance thresholds, edit distance, and Hausdorff distance …
feature selection methods including variance thresholds, edit distance, and Hausdorff distance …
Deep Learning for Medical Image Segmentation in MRI Scans: Implements deep learning techniques for accurate segmentation of structures in MRI scans
B Hernandez - Journal of Deep Learning in Genomic Data …, 2024 - thelifescience.org
44 天前 - … • Hausdorff distance: This metric measures the maximum distance between any
two … A lower Hausdorff distance indicates better agreement between the predicted and …
two … A lower Hausdorff distance indicates better agreement between the predicted and …
Multimodal Medical Image Fusion Network Based on Target Information Enhancement
Y Zhou, X Yang, S Liu, J Yin - IEEE Access, 2024 - ieeexplore.ieee.org
48 天前 - … TIEF achieved the best results in both (Dice similarity coefficient) Dice and (Hausdorff
distance … In this study, the baseline approach of feature selection blocks to enhance fusion …
distance … In this study, the baseline approach of feature selection blocks to enhance fusion …
Quantifying Page Segmentation Quality in Historical Job Advertisements Retrieval
K Venglarova, R Adam, S Balasubramanian, G Vogeler - 2024 - inria.hal.science
72 天前 - … Results show that combining the text presence/absence feature with Hausdorff
distance achieves the highest performance, reaching an F1 score of 0.957 on the testing subset. …
distance achieves the highest performance, reaching an F1 score of 0.957 on the testing subset. …
Combined use of radiomics and artificial neural networks for the three‐dimensional automatic segmentation of glioblastoma multiforme
AM de los Reyes, VH Lord, ME Buemi… - Expert …, 2024 - Wiley Online Library
84 天前 - … , fed by 30 selected radiomic features of gray intensity and texture. … , but even with
better Hausdorff distances and lower … not informative features, a feature selection process was …
better Hausdorff distances and lower … not informative features, a feature selection process was …
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