Publications by authors named "Baisen Cong"
Lightweight medical image segmentation network with multi-scale feature-guided fusion.
Comput Biol Med
November 2024
In the field of computer-aided medical diagnosis, it is crucial to adapt medical image segmentation to limited computing resources. There is tremendous value in developing accurate, real-time vision processing models that require minimal computational resources. When building lightweight models, there is always a trade-off between computational cost and segmentation performance.
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- Drug-target affinity (DTA) prediction is crucial for drug development, helping researchers gauge the potential effectiveness and safety of new drugs early on.
- Traditional models struggle with accuracy due to inadequate representation of substructure interactions in drug molecules.
- The new TDGraphDTA model uses advanced techniques like transformers and diffusion graphs to enhance prediction accuracy and interpretability by capturing detailed relationships among molecular substructures, showing improved results on benchmark datasets.