Search alternatives:
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
code encryption » image encryption (Expand Search)
node selection » model selection (Expand Search), wide selection (Expand Search), nozzle selection (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
code encryption » image encryption (Expand Search)
node selection » model selection (Expand Search), wide selection (Expand Search), nozzle selection (Expand Search)
-
141
-
142
Performance comparison of proposed system with state-of-the-art approaches.
Published 2025Subjects: -
143
-
144
-
145
-
146
-
147
-
148
-
149
-
150
-
151
-
152
-
153
-
154
Comparative analysis of DDcGAN-GSOM’s Energy Consumption, Throughput, and Dealy.
Published 2025Subjects: -
155
-
156
Image 1_Integrin factor (FAM27E3), as a metastatic marker of papillary thyroid carcinoma, through the p53 signaling pathway promoting lymph node metastasis.tif
Published 2025“…Background<p>Papillary thyroid carcinoma (PTC) has a lymph node metastasis rate of 20%–90%. This study aims to explore the role and regulatory mechanism of the FAM27E3 in PTC lymph node metastasis.…”
-
157
Data Sheet 1_Integrin factor (FAM27E3), as a metastatic marker of papillary thyroid carcinoma, through the p53 signaling pathway promoting lymph node metastasis.zip
Published 2025“…Background<p>Papillary thyroid carcinoma (PTC) has a lymph node metastasis rate of 20%–90%. This study aims to explore the role and regulatory mechanism of the FAM27E3 in PTC lymph node metastasis.…”
-
158
Table 1_Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach.docx
Published 2025“…Subsequently, dual machine learning strategies—LASSO regression and the Boruta algorithm—were applied to select robust biomarkers. …”
-
159
Image 1_Development and validation of machine learning-based MRI radiomics models for preoperative lymph node staging in T3 rectal cancer.tif
Published 2025“…Radiomics features were extracted from high-resolution T2-weighted imaging (T2WI) of primary tumor. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) algorithm. …”
-
160
Image 3_Development and validation of machine learning-based MRI radiomics models for preoperative lymph node staging in T3 rectal cancer.tif
Published 2025“…Radiomics features were extracted from high-resolution T2-weighted imaging (T2WI) of primary tumor. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) algorithm. …”