When “good enough” beats overkill ...
Abstract: Prior methods had trouble developing an effective segmentation framework model for detecting liver tumors from CT images, leading to subpar results in terms of both visual appeal and ...
Abstract: To achieve point cloud denoising, traditional methods heavily rely on geometric priors, and most learning-based approaches suffer from outliers and loss of details. Recently, the ...
The official code repository for our TPAMI paper 'Deep Point Set Resampling via Gradient Fields'. @ARTICLE{9775211, author={Chen, Haolan and Du, Bi'an and Luo, Shitong and Hu, Wei}, journal={IEEE ...
Normal estimation for 3D point clouds is a fundamental task in 3D geometry processing. The state-of-the-art methods rely on priors of fitting local surfaces learned from normal supervision. However, ...
Objective: Our study aims to establish and validate a diagnostic scoring system for distinguishing malignant cystic ovarian tumors (MCOTs) from benign cystic ovarian tumors (BCOTs). Methods: The study ...