Suchergebnisse - "Semi-supervised learning"

PubPharm (1.025)

1

Linear semantic transformation for semi-supervised medical image segmentation

enthalten in: Computers in biology and medicine | 2024

von Chen, C. | Chen, Y. | Li, X. | +2

2

Expectation maximisation pseudo labels

enthalten in: Medical image analysis | 2024

von Xu, M. | Zhou, Y. | Jin, C. | +5

3

Distribution-free Bayesian regularized learning framework for semi-supervised learning

enthalten in: Neural networks : the official journal of the International Neural Network Society | 2024

von Ma, J. | Yu, G.

4

Forest fire susceptibility assessment under small sample scenario : A semi-supervised learning approach using transductive support vector machine

enthalten in: Journal of environmental management | 2024

von Ma, T. | Wang, G. | Guo, R. | +2

5

Semi-supervised medical image classification via distance correlation minimization and graph attention regularization

enthalten in: Medical image analysis | 2024

von Berenguer, A. | Kvasnytsia, M. | Bossa, M. | +3

6

A semi-supervised multiview-MRI network for the detection of Knee Osteoarthritis

enthalten in: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society | 2024

von Berrimi, M. | Hans, D. | Jennane, R.

7

Improving Graph Convolutional Network with Learnable Edge Weights and Edge-Node Co-Embedding for Graph Anomaly Detection

enthalten in: Sensors (Basel, Switzerland) | 2024

von Tan, X. | Yang, J. | Zhao, Z. | +2

8

Development of an Interpretable Deep Learning Model for Pathological Tumor Response Assessment After Neoadjuvant Therapy

enthalten in: Biological procedures online | 2024

von Wang, Y. | Zhang, W. | Chen, L. | +9

9

Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images

enthalten in: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society | 2024

von Zhu, J. | Bolsterlee, B. | Chow, B. | +2

10

Development of an Interpretable Deep Learning Model for Pathological Tumor Response Assessment After Neoadjuvant Therapy

enthalten in: Biological procedures online | 2024

von Wang, Y. | Zhang, W. | Chen, L. | +9

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