Cover Image

Knowledge-enhanced Pretraining for Vision-language Pathology Foundation Model on Cancer Diagnosis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Xiao, Sun, Luoyi, He, Dexuan, Guan, Wenbin, Wang, Ge, Wang, Ruifen, Wang, Lifeng, Yuan, Xiaojun, Sun, Xin, Zhang, Ya, Sun, Kun, Wang, Yanfeng, Xie, Weidi
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping
by: He, Dexuan, et al.
Published: (2025)

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
by: Zhou, Xiao, et al.
Published: (2024)

Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach
by: Zhao, Ziheng, et al.
Published: (2025)

Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
by: Zhang, Qi, et al.
Published: (2025)

SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding
by: Sun, Luoyi, et al.
Published: (2026)

PhenoLIP: Integrating Phenotype Ontology Knowledge into Medical Vision-Language Pretraining
by: Liang, Cheng, et al.
Published: (2026)

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining
by: Zhang, Tengfei, et al.
Published: (2025)

Large-Vocabulary Segmentation for Medical Images with Text Prompts
by: Zhao, Ziheng, et al.
Published: (2023)

Poisson Flow Joint Model for Multiphase contrast-enhanced CT
by: Ge, Rongjun, et al.
Published: (2025)

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis
by: Ouyang, Minxi, et al.
Published: (2025)

AutoRG-Brain: Grounded Report Generation for Brain MRI
by: Lei, Jiayu, et al.
Published: (2024)

To What Extent Do Token-Level Representations from Pathology Foundation Models Improve Dense Prediction?
by: Chen, Weiming, et al.
Published: (2026)

Hibou: A Family of Foundational Vision Transformers for Pathology
by: Nechaev, Dmitry, et al.
Published: (2024)

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
by: Chen, Zhihao, et al.
Published: (2025)

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
by: Ma, Jiabo, et al.
Published: (2024)

TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis
by: Jin, Xuebo, et al.
Published: (2025)

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)

Patch Stitching Data Augmentation for Cancer Classification in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)

Brain Tumor Detection Based on a Novel and High-Quality Prediction of the Tumor Pixel Distributions
by: Sun, Yanming, et al.
Published: (2023)

Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform
by: Yu, Jinliang, et al.
Published: (2025)

Uncovering Latent Pathological Signatures in Pulmonary CT via Cross-Window Knowledge Distillation
by: Peng, Bo, et al.
Published: (2026)

DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2026)

Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning
by: Sun, Luoyi, et al.
Published: (2023)

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
by: Zhu, Lianghui, et al.
Published: (2025)

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
by: Wu, Chengyu, et al.
Published: (2024)

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation
by: Guo, Zhengrui, et al.
Published: (2026)

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
by: Luo, Yang, et al.
Published: (2025)

Semantic-driven Wireless Environment Knowledge Representation for Efficiency-Accuracy Balanced Beam Prediction in Vehicular Networks
by: Wang, Jialin, et al.
Published: (2025)

A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
by: Zhong, Jiachen, et al.
Published: (2025)

From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning
by: Jiang, Yuncheng, et al.
Published: (2024)

A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer
by: Tao, Yuhui, et al.
Published: (2025)

Towards User-level QoE: Large-scale Practice in Personalized Optimization of Adaptive Video Streaming
by: Jia, Lianchen, et al.
Published: (2025)

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections
by: Ling, Xitong, et al.
Published: (2024)

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine
by: Xia, Wenjun, et al.
Published: (2025)

Multistain Pretraining for Slide Representation Learning in Pathology
by: Jaume, Guillaume, et al.
Published: (2024)

Multispectral to Hyperspectral using Pretrained Foundational model
by: Gonzalez, Ruben, et al.
Published: (2025)

VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
by: Li, Zihan, et al.
Published: (2024)

Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications
by: Qiu, Zelin, et al.
Published: (2025)

Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue
by: Sun, Xiaoyu, et al.
Published: (2025)

RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
by: Wang, Jianxu, et al.
Published: (2026)