Cover Image

SCORPION: Addressing Scanner-Induced Variability in Histopathology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ryu, Jeongun, Song, Heon, Lee, Seungeun, Cho, Soo Ick, Shin, Jiwon, Paeng, Kyunghyun, Pereira, Sérgio
Format:	Preprint
Published:	2025
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

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer
by: Brattoli, Biagio, et al.
Published: (2024)

OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge
by: Shin, JaeWoong, et al.
Published: (2025)

Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning
by: Shin, Ukcheol, et al.
Published: (2025)

Complementary Random Masking for RGB-Thermal Semantic Segmentation
by: Shin, Ukcheol, et al.
Published: (2023)

Learning to Control Camera Exposure via Reinforcement Learning
by: Lee, Kyunghyun, et al.
Published: (2024)

Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning
by: Kim, Ho Heon, et al.
Published: (2024)

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
by: Madaan, Divyam, et al.
Published: (2026)

Focused Active Learning for Histopathological Image Classification
by: Schmidt, Arne, et al.
Published: (2024)

D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
by: Do, Dinh Phat, et al.
Published: (2024)

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

Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach
by: Lee, Hoosang, et al.
Published: (2025)

Hyperparameters in Continual Learning: A Reality Check
by: Cha, Sungmin, et al.
Published: (2024)

G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation
by: Cho, Yesung, et al.
Published: (2025)

Color Information-Based Automated Mask Generation for Detecting Underwater Atypical Glare Areas
by: Jeon, Mingyu, et al.
Published: (2025)

Development of Image Collection Method Using YOLO and Siamese Network
by: Shin, Chan Young, et al.
Published: (2024)

Image Clustering Conditioned on Text Criteria
by: Kwon, Sehyun, et al.
Published: (2023)

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference
by: Kang, Beomseok, et al.
Published: (2026)

CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding
by: Shin, Minjung, et al.
Published: (2021)

A Generative Foundation Model for Multimodal Histopathology
by: Xiang, Jinxi, et al.
Published: (2026)

Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation
by: Kim, Mingyu, et al.
Published: (2026)

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving
by: Yu, Seungjun, et al.
Published: (2025)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
by: Cechnicka, Sarah, et al.
Published: (2025)

Conditional Random Fields for Interactive Refinement of Histopathological Predictions
by: Godelaine, Tiffanie, et al.
Published: (2026)

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
by: Zhu, Yu, et al.
Published: (2024)

InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior Learning
by: Lee, Seunghwan, et al.
Published: (2023)

SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis
by: Pan, Liangrui, et al.
Published: (2025)

Efficient AI-Driven Multi-Section Whole Slide Image Analysis for Biochemical Recurrence Prediction in Prostate Cancer
by: Cho, Yesung, et al.
Published: (2026)

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
by: Na, Inye, et al.
Published: (2025)

Addressing Negative Transfer in Diffusion Models
by: Go, Hyojun, et al.
Published: (2023)

Mining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection
by: Seo, Soo Won, et al.
Published: (2026)

PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
by: Koohi-Moghadam, Mohamad, et al.
Published: (2026)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
by: Erick, Franciskus Xaverius, et al.
Published: (2026)

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

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
by: Suxing, Liu, et al.
Published: (2025)

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
by: Pham, Ha-Hieu, et al.
Published: (2025)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
by: Sun, Susu, et al.
Published: (2025)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
by: Chae, Hyunsik, et al.
Published: (2025)

CD-FKD: Cross-Domain Feature Knowledge Distillation for Robust Single-Domain Generalization in Object Detection
by: Lee, Junseok, et al.
Published: (2026)

Investigating the Impact of Histopathological Foundation Models on Regressive Prediction of Homologous Recombination Deficiency
by: Blezinger, Alexander, et al.
Published: (2026)

Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis
by: Ling, Xitong, et al.
Published: (2024)