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20102024
most citedLarge Multimodal Agents: A Survey

12 citations · 35 across the 16 of their papers we have counts for

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11 papers · 1 filter

cs.CV20241 cited

Self-Supervised Alignment Learning for Medical Image Segmentation

Haofeng Li, Yiming Ouyang, Xiang Wan

Recently, self-supervised learning (SSL) methods have been used in pre-training the segmentation models for 2D and 3D medical images. Most of these methods are based on reconstruct…

cs.CV20248 cited

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Haifan Gong, Luoyao Kang, Yitao Wang +2

In the field of biomedical image analysis, the quest for architectures capable of effectively capturing long-range dependencies is paramount, especially when dealing with 3D image…

cs.CV202412 cited

Large Multimodal Agents: A Survey

Junlin Xie, Zhihong Chen, Ruifei Zhang +2

Large language models (LLMs) have achieved superior performance in powering text-based AI agents, endowing them with decision-making and reasoning abilities akin to humans. Concurr…

cs.CV2024

UniCell: Universal Cell Nucleus Classification via Prompt Learning

Junjia Huang, Haofeng Li, Xiang Wan +1

The recognition of multi-class cell nuclei can significantly facilitate the process of histopathological diagnosis. Numerous pathological datasets are currently available, but thei…

cs.CV2024

ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection

Yuncheng Jiang, Zixun Zhang, Yiwen Hu +6

Accurate polyp detection is critical for early colorectal cancer diagnosis. Although remarkable progress has been achieved in recent years, the complex colon environment and concea…

cs.CV20237 cited

Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images

Wei Lou, Xinyi Yu, Chenyu Liu +4

Cell segmentation for multi-modal microscopy images remains a challenge due to the complex textures, patterns, and cell shapes in these images. To tackle the problem, we first deve…