14 citations · 15 across the 18 of their papers we have counts for
8 papers · 1 filter
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch
Qing Zhang, Hang Guo, Siyuan Yang +2
Pathological cell semantic segmentation is a fundamental technology in computational pathology, essential for applications like cancer diagnosis and effective treatment. Given that…
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
Ming Li, Wei Shen, Qingli Li +1
The success of medical image segmentation usually requires a large number of high-quality labels. But since the labeling process is usually affected by the raters' varying skill le…
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Yadong Lu, Shitian Zhao, Boxiang Yun +4
Despite recent progress in enhancing the efficacy of Open-Domain Continual Learning (ODCL) in Vision-Language Models (VLM), failing to (1) correctly identify the Task-ID of a test…
LoFormer: Local Frequency Transformer for Image Deblurring
Xintian Mao, Jiansheng Wang, Xingran Xie +2
Due to the computational complexity of self-attention (SA), prevalent techniques for image deblurring often resort to either adopting localized SA or employing coarse-grained globa…
Spatially-Variant Degradation Model for Dataset-free Super-resolution
Shaojie Guo, Haofei Song, Qingli Li +1
This paper focuses on the dataset-free Blind Image Super-Resolution (BISR). Unlike existing dataset-free BISR methods that focus on obtaining a degradation kernel for the entire im…
Prompting Whole Slide Image Based Genetic Biomarker Prediction
Ling Zhang, Boxiang Yun, Xingran Xie +3
Prediction of genetic biomarkers, e.g., microsatellite instability and BRAF in colorectal cancer is crucial for clinical decision making. In this paper, we propose a whole slide im…
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
Xintian Mao, Qingli Li, Yan Wang
Despite the recent progress in enhancing the efficacy of image deblurring, the limited decoding capability constrains the upper limit of State-Of-The-Art (SOTA) methods. This paper…
INet: Inter-Intra-slice Interpolation Network for Medical Slice Synthesis
Haofei Song, Xintian Mao, Jing Yu +2
Medical imaging is limited by acquisition time and scanning equipment. CT and MR volumes, reconstructed with thicker slices, are anisotropic with high in-plane resolution and low t…