most citedCyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation

21 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 5 cited

AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Yongjian Wu, Yang Zhou, Jiya Saiyin +4

Large-scale visual-language pre-trained models (VLPMs) have demonstrated exceptional performance in downstream object detection through text prompts for natural scenes. However, th…

cs.CV2024

SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models

Yang Zhou, Yongjian Wu, Jiya Saiyin +4

Prompt tuning methods have achieved remarkable success in parameter-efficient fine-tuning on large pre-trained models. However, their application to dual-modal fusion-based visual-…

eess.IV2023

DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis

Zhiwen Yang, Yang Zhou, Hui Zhang +3

Multi-center positron emission tomography (PET) image synthesis aims at recovering low-dose PET images from multiple different centers. The generalizability of existing methods can…

cs.CV2023

Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Yongjian Wu, Yang Zhou, Jiya Saiyin +5

Large-scale visual-language pre-trained models (VLPM) have proven their excellent performance in downstream object detection for natural scenes. However, zero-shot nuclei detection…

cs.CV2023★ 21 cited

Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation

Yang Zhou, Yongjian Wu, Zihua Wang +5

Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manua…