output
20182025
most citedRCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation

111 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2024★ 1 cited

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation

Yiqin Zhang, Qingkui Chen, Chen Huang +3

Most data-driven models for medical image analysis rely on universal augmentations to improve accuracy. Experimental evidence has confirmed their effectiveness, but the unclear mec…

cs.CV2023★ 31 cited

IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models

Zhihao Chen, Bin Hu, Chuang Niu +4

Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted an increasing interest as a natural language interface acros…

cs.CV2023★ 111 cited

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation

Xiangyu Zhao, Zengxin Qi, Sheng Wang +4

Medical image segmentation methods are generally designed as fully-supervised to guarantee model performance, which require a significant amount of expert annotated samples that ar…

cs.CV2019★ 58 cited

DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet

Meiyu Li, Hailiang Tang, Michael D. Chan +2

Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment. In the course of post-treatment magnetic resonance i…

cs.CV2018

Learning Optimal Deep Projection of F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes

Shubham Kumar, Abhijit Guha Roy, Ping Wu +10

Several diseases of parkinsonian syndromes present similar symptoms at early stage and no objective widely used diagnostic methods have been approved until now. Positron emission t…