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Found 8 papers, 4 papers with code
Applications of Tao General Difference in Discrete Domain
Tao general difference (TGD) is a novel theory and approach to difference computation for discrete sequences and arrays in multidimensional space.
The changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomography
Our findings indicate that bone density exhibits a linear decline with age during adulthood between the ages of 39 and 80, with the rate of decline being approximately 1. 6 times faster in women than in men.
A Theory of General Difference in Continuous and Discrete Domain
This stems from a key disconnect between the infinitesimal quantities in continuous differentiation and the finite intervals in its discrete counterpart.
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation Models
This manuscript goes deep into the research of the Dropout algorithm, which is commonly used in neural networks to alleviate the overfitting problem.
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
In the GPU era, the locally and globally weighted summations are the current mainstreams, represented by the convolution and self-attention mechanism, as well as MLP.
Multi-encoder parse-decoder network for sequential medical image segmentation
We aim on enhancing medical image segmentation by using spatial continuity information in a proposed Multi-Encoder Parse-Decoder Network (MEPDNet) based on the fact that most of the medical images are sampled continuously.
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Furthermore, We have also introduced the concept of Inverse FGSM (InvFGSM), which works in the opposite manner of FGSM for the data augmentation.
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
We also provide a theoretical explanation of our method.
Facial Expression Recognition
Facial Expression Recognition (FER)
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