Cover Image

CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Gang, Wang, Shuhao, Zhao, Lingyu, Chen, Xiao, Wang, Tongwei, Wang, Lang, Luo, Zhenwei, Wang, Dahan, Zhang, Zewen, Liu, Aijun, Ba, Wei, Song, Zhigang, Shi, Huaiyin, Zhong, Dingrong, Ma, Jianpeng
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation
by: Lituan, Wang, et al.
Published: (2025)

"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
by: D'Amato, Marina, et al.
Published: (2025)

FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation
by: Pan, Liangrui, et al.
Published: (2024)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
by: Zhou, Jianpeng, et al.
Published: (2023)

Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features
by: Xuemei Lan, et al.
Published: (2024)

Spontaneous symmetry breaking in open quantum systems: strong, weak, and strong-to-weak
by: Gu, Ding, et al.
Published: (2024)

Algorithm-agnostic significance testing in supervised learning with multimodal data
by: Kook, Lucas, et al.
Published: (2024)

Defect detection using weakly supervised learning
by: Sevetlidis, Vasileios, et al.
Published: (2023)

Semi-weakly-supervised neural network training for medical image registration
by: Li, Yiwen, et al.
Published: (2024)

PromptForge-350k: A Large-Scale Dataset and Contrastive Framework for Prompt-Based AI Image Forgery Localization
by: Wang, Jianpeng, et al.
Published: (2026)

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
by: Jin, Qiangguo, et al.
Published: (2024)

Weakly supervised deep learning for cutaneous squamous and basal cell carcinoma in whole‐slide histopathology
by: Anne Petzold, et al.
Published: (2026)

Tunneling phase diagram: A machine-learning framework for multidimensional kinetic isotope effects
by: Yang, Xinrui, et al.
Published: (2026)

Cobalt‐Catalyzed Aerobic Oxidation of Arylmethylamines to Arylamide
by: Shiyun Li, et al.
Published: (2026)

CAMEL AND HORSE TOMB, MLEIHA, SHARJAH
by: GlobalDigitalHeritage
Published: (2020)

SP${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
by: Li, Shiman, et al.
Published: (2024)

FedDropoutAvg: Generalizable federated learning for histopathology image classification
by: Gunesli, Gozde N., et al.
Published: (2021)

Bimetal Metaphosphate/Molybdenum Oxide Heterostructure Nanowires for Boosting Overall Freshwater/Seawater Splitting at High Current Densities
by: Pan Wang, et al.
Published: (2024)

Mixture to Mixture: Leveraging Close-talk Mixtures as Weak-supervision for Speech Separation
by: Wang, Zhong-Qiu
Published: (2024)

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
by: Wang, Dingrong, et al.
Published: (2024)

Lower environmental temperature and higher relative humidity had significant associations with worsened Raynaud phenomenon in systemic sclerosis: comment on the article by Taylor et al
by: Gang Wang, et al.
Published: (2025)

Carleman estimates for space semi-discrete approximations of one-dimensional stochastic parabolic equation and its applications
by: Wu, Bin, et al.
Published: (2024)

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024)

CAMEL: Confidence-Gated Reflection for Reward Modeling
by: Zhu, Zirui, et al.
Published: (2026)

CAMEL: Curvature-Augmented Manifold Embedding and Learning
by: Xu, Nan, et al.
Published: (2023)

Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)

CAMEL: Cross-Attention Enhanced Mixture-of-Experts and Language Bias for Code-Switching Speech Recognition
by: Wang, He, et al.
Published: (2024)

Highlight mask‐guided adaptive residual network for single image highlight detection and removal
by: Shuaibin Wang, et al.
Published: (2024)

Single-image reflection removal via self-supervised diffusion models
by: Lu, Zhengyang, et al.
Published: (2024)

Erratum to: Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning (Magn Reson Med. 2024;92:496‐518)
by: Shanshan Wang, et al.
Published: (2024)

Febuxostat use is associated with a significantly greater risk of mild to moderate perturbation of liver function compared to benzbromarone in patients with gout: comment on the article by Sun et al
by: Gang Wang, et al.
Published: (2025)

Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning
by: Zhuang, Zhenfeng, et al.
Published: (2024)

Astronomical image denoising by self-supervised deep learning and restoration processes
by: Liu, Tie, et al.
Published: (2025)

MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm
by: Wang, Zhengru, et al.
Published: (2023)

COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
by: Shvetsov, Dmytro, et al.
Published: (2024)

COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
by: Shvetsov, Dmytro, et al.
Published: (2024)

Dataset for: Real-time self-supervised denoising for high-speed fluorescence neural imaging
by: Yiqun Wang
Published: (2025)

Improving the performance of weak supervision searches using transfer and meta-learning
by: Beauchesne, Hugues, et al.
Published: (2023)

SAIP: A Plug-and-Play Scale-adaptive Module in Diffusion-based Inverse Problems
by: Wang, Lingyu, et al.
Published: (2025)