HT-RCM: Hashimoto's Thyroiditis Ultrasound Image Classification Model Based on Res-FCT and Res-CAM
W Jiang, K Chen, Z Liang, T Luo, G Yue… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The early lesions of Hashimoto's thyroiditis are inconspicuous, and the ultrasonic features of
these early lesions are indistinguishable from other thyroid diseases. This paper proposes a …
these early lesions are indistinguishable from other thyroid diseases. This paper proposes a …
Manifold-based multi-graph embedding for semi-supervised classification
Graph semi-supervised learning (GSSL) plays an important role in semi-supervised
classification by leveraging the similarity of graph topology and convex optimization with …
classification by leveraging the similarity of graph topology and convex optimization with …
Learnable Brain Connectivity Structures for Identifying Neurological Disorders
Z Xia, T Zhou, Z Jiao, J Lu - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Brain networks/graphs have been widely recognized as powerful and efficient tools for
identifying neurological disorders. In recent years, various graph neural network models …
identifying neurological disorders. In recent years, various graph neural network models …
Deep manifold orthometric network for the detection of cancer metastasis in lymph nodes via histopathology image segmentation
H Yu, Z Zhu, Q Zhao, Y Lu, J Liu - Biomedical Signal Processing and …, 2024 - Elsevier
Identification of lymph node metastases with histopathology images is crucial for cancer
diagnosis. Deep learning-based approaches have been applied to detect cancer …
diagnosis. Deep learning-based approaches have been applied to detect cancer …
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives
B Hu, L Zhu, Q Dong, K Qian, H Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With great pride and enthusiasm, we present the inaugural edition of IEEE Transactions on
Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 …
Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 …
Integrative Approaches for Understanding and Characterizing ADHD: Insights From Multimodal Data, Virtual Reality, Longitudinal Studies, and Deep Phenotyping.
N Balani, M Mulchandani - Intelligent Solutions for Cognitive …, 2024 - igi-global.com
This chapter explores innovative methodologies at the intersection of neuroscience,
psychology, and technology to advance our understanding of ADHD. By combining …
psychology, and technology to advance our understanding of ADHD. By combining …