Image de couverture de livre

MOOZY: A Patient-First Foundation Model for Computational Pathology

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kotp, Yousef, Trinh, Vincent Quoc-Huy, Pal, Christopher, Hosseini, Mahdi S.
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation
par: Yang, Zhiyuan, et autres
Publié: (2026)

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design
par: Sharma, Vasudev, et autres
Publié: (2025)

Comparative Analysis of Diffusion Generative Models in Computational Pathology
par: Thakkar, Denisha, et autres
Publié: (2024)

AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale
par: Alagha, Ahmed, et autres
Publié: (2026)

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
par: Nasiri-Sarvi, Ali, et autres
Publié: (2024)

Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics
par: Notton, Cassandre, et autres
Publié: (2024)

Viper-F1: Fast and Fine-Grained Multimodal Understanding with Cross-Modal State-Space Modulation
par: Trinh, Quoc-Huy
Publié: (2025)

2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
par: Zhang, Jingwei, et autres
Publié: (2024)

Computational Pathology: A Survey Review and The Way Forward
par: Hosseini, Mahdi S., et autres
Publié: (2023)

Firebolt-VL: Efficient Vision-Language Understanding with Cross-Modality Modulation
par: Trinh, Quoc-Huy, et autres
Publié: (2026)

Benchmarking Computational Pathology Foundation Models For Semantic Segmentation
par: Ramchandani, Lavish, et autres
Publié: (2026)

Unifying Multiple Foundation Models for Advanced Computational Pathology
par: Lei, Wenhui, et autres
Publié: (2025)

Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact
par: Bilal, Mohsin, et autres
Publié: (2025)

Pathology Foundation Models
par: Ochi, Mieko, et autres
Publié: (2024)

PRS-Med: Position Reasoning Segmentation in Medical Imaging
par: Trinh, Quoc-Huy, et autres
Publié: (2025)

RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation
par: Nguyen-Le, Quoc-Bao, et autres
Publié: (2024)

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation
par: Trinh, Huy, et autres
Publié: (2024)

Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
par: Tang, Wenhao, et autres
Publié: (2024)

Multi-Modal Foundation Models for Computational Pathology: A Survey
par: Li, Dong, et autres
Publié: (2025)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
par: Trinh, Quoc-Huy, et autres
Publié: (2024)

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes
par: Zeng, Jun, et autres
Publié: (2025)

StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
par: Li, Jiawen, et autres
Publié: (2025)

PLUTO-4: Frontier Pathology Foundation Models
par: Padigela, Harshith, et autres
Publié: (2025)

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
par: Chen, Boqi, et autres
Publié: (2025)

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks
par: Yan, Fang, et autres
Publié: (2025)

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
par: Sun, Yuxuan, et autres
Publié: (2024)

NeIn: Telling What You Don't Want
par: Bui, Nhat-Tan, et autres
Publié: (2024)

Comparing Computational Pathology Foundation Models using Representational Similarity Analysis
par: Mishra, Vaibhav, et autres
Publié: (2025)

A Deployment-Friendly Foundational Framework for Efficient Computational Pathology
par: Cai, Yu, et autres
Publié: (2026)

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
par: Lee, Jeaung, et autres
Publié: (2024)

The Importance of Downstream Networks in Digital Pathology Foundation Models
par: Bredell, Gustav, et autres
Publié: (2023)

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks
par: Li, Dong, et autres
Publié: (2025)

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
par: Li, Honglin, et autres
Publié: (2025)

BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology
par: Guo, Xiaojing, et autres
Publié: (2026)

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
par: Trinh, Quoc-Huy, et autres
Publié: (2023)

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models
par: Liu, Jiashuai, et autres
Publié: (2025)

Plug-and-Play Logit Fusion for Heterogeneous Pathology Foundation Models
par: Huang, Gexin, et autres
Publié: (2026)

Foundation Models for Slide-level Cancer Subtyping in Digital Pathology
par: Meseguer, Pablo, et autres
Publié: (2024)

A Vision-Language Foundation Model for Leaf Disease Identification
par: Quoc, Khang Nguyen, et autres
Publié: (2025)

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space
par: Trinh, Quoc-Huy, et autres
Publié: (2026)