Image de couverture de livre

SCORPION: Addressing Scanner-Induced Variability in Histopathology

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ryu, Jeongun, Song, Heon, Lee, Seungeun, Cho, Soo Ick, Shin, Jiwon, Paeng, Kyunghyun, Pereira, Sérgio
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer
par: Brattoli, Biagio, et autres
Publié: (2024)

OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge
par: Shin, JaeWoong, et autres
Publié: (2025)

Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning
par: Shin, Ukcheol, et autres
Publié: (2025)

Complementary Random Masking for RGB-Thermal Semantic Segmentation
par: Shin, Ukcheol, et autres
Publié: (2023)

Learning to Control Camera Exposure via Reinforcement Learning
par: Lee, Kyunghyun, et autres
Publié: (2024)

Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning
par: Kim, Ho Heon, et autres
Publié: (2024)

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
par: Madaan, Divyam, et autres
Publié: (2026)

Focused Active Learning for Histopathological Image Classification
par: Schmidt, Arne, et autres
Publié: (2024)

D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
par: Do, Dinh Phat, et autres
Publié: (2024)

Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation
par: Galdran, Adrian
Publié: (2024)

Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach
par: Lee, Hoosang, et autres
Publié: (2025)

Hyperparameters in Continual Learning: A Reality Check
par: Cha, Sungmin, et autres
Publié: (2024)

G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation
par: Cho, Yesung, et autres
Publié: (2025)

Color Information-Based Automated Mask Generation for Detecting Underwater Atypical Glare Areas
par: Jeon, Mingyu, et autres
Publié: (2025)

Development of Image Collection Method Using YOLO and Siamese Network
par: Shin, Chan Young, et autres
Publié: (2024)

Image Clustering Conditioned on Text Criteria
par: Kwon, Sehyun, et autres
Publié: (2023)

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference
par: Kang, Beomseok, et autres
Publié: (2026)

CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding
par: Shin, Minjung, et autres
Publié: (2021)

A Generative Foundation Model for Multimodal Histopathology
par: Xiang, Jinxi, et autres
Publié: (2026)

Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation
par: Kim, Mingyu, et autres
Publié: (2026)

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving
par: Yu, Seungjun, et autres
Publié: (2025)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
par: Cechnicka, Sarah, et autres
Publié: (2025)

Conditional Random Fields for Interactive Refinement of Histopathological Predictions
par: Godelaine, Tiffanie, et autres
Publié: (2026)

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
par: Zhu, Yu, et autres
Publié: (2024)

InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior Learning
par: Lee, Seunghwan, et autres
Publié: (2023)

SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis
par: Pan, Liangrui, et autres
Publié: (2025)

Efficient AI-Driven Multi-Section Whole Slide Image Analysis for Biochemical Recurrence Prediction in Prostate Cancer
par: Cho, Yesung, et autres
Publié: (2026)

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
par: Na, Inye, et autres
Publié: (2025)

Addressing Negative Transfer in Diffusion Models
par: Go, Hyojun, et autres
Publié: (2023)

Mining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection
par: Seo, Soo Won, et autres
Publié: (2026)

PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
par: Koohi-Moghadam, Mohamad, et autres
Publié: (2026)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
par: Erick, Franciskus Xaverius, et autres
Publié: (2026)

A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images
par: Hu, Xiaoqian
Publié: (2025)

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
par: Suxing, Liu, et autres
Publié: (2025)

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
par: Pham, Ha-Hieu, et autres
Publié: (2025)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
par: Sun, Susu, et autres
Publié: (2025)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
par: Chae, Hyunsik, et autres
Publié: (2025)

CD-FKD: Cross-Domain Feature Knowledge Distillation for Robust Single-Domain Generalization in Object Detection
par: Lee, Junseok, et autres
Publié: (2026)

Investigating the Impact of Histopathological Foundation Models on Regressive Prediction of Homologous Recombination Deficiency
par: Blezinger, Alexander, et autres
Publié: (2026)

Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis
par: Ling, Xitong, et autres
Publié: (2024)