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Found 6 papers, 0 papers with code
PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation
Automatic prostate segmentation is an important step in computer-aided diagnosis of prostate cancer and treatment planning.
PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation
Deep learning (DL) models achieve a high segmentation performance, although require a large model size and complexity.
Bias and Fairness in Chatbots: An Overview
Thus, a comprehensive overview on bias and fairness in chatbot systems is given in this paper.
An Overview on Generative AI at Scale with Edge-Cloud Computing
The rapid development of GenAI systems has created a huge amount of new data on the Internet, posing new challenges to current computing and communication frameworks.
A Tiny Machine Learning Model for Point Cloud Object Classification
On the other hand, the model size and inference complexity of DGCNN are 42X and 1203X of those of Green-PointHop, respectively.
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian point coordinates can be employed to learn features.
