Image de couverture de livre

Classifying Mitotic Figures in the MIDOG25 Challenge with Deep Ensemble Learning and Rule Based Refinement

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Krauss, Sara, Spieß, Ellena, Hieber, Daniel, Kramer, Frank, Schobel, Johannes, Müller, Dominik
Format:	Preprint
Publié:	2025
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

Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge
par: Meng, Biwen, et autres
Publié: (2025)

Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025
par: Xu, Shuting, et autres
Publié: (2025)

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection
par: Song, Euiseop, et autres
Publié: (2025)

RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
par: Giedziun, Piotr, et autres
Publié: (2025)

MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances
par: Kotte, Sujatha, et autres
Publié: (2025)

Automated Classification of Normal and Atypical Mitotic Figures Using ConvNeXt V2: MIDOG 2025 Track 2
par: Yamagishi, Yosuke, et autres
Publié: (2025)

Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge
par: Choe, Seungho, et autres
Publié: (2025)

Efficient Fine-Tuning of DINOv3 Pretrained on Natural Images for Atypical Mitotic Figure Classification (MIDOG 2025 Task 2 Winner)
par: Balezo, Guillaume, et autres
Publié: (2025)

MIDOG 2025: Mitotic Figure Detection with Attention-Guided False Positive Correction
par: Broad, Andrew, et autres
Publié: (2025)

CMUT vs. PZT Ultrasound Imaging Dataset
par: Spieß, Ellena
Publié: (2025)

Team Westwood Solution for MIDOG 2025 Challenge: An Ensemble-CNN-Based Approach For Mitosis Detection And Classification
par: Xu, Tengyou, et autres
Publié: (2025)

Benchmarking Foundation Models for Mitotic Figure Classification
par: Ammeling, Jonas, et autres
Publié: (2025)

Ensemble YOLO Framework for Multi-Domain Mitotic Figure Detection in Histopathology Images
par: Kelam, Navya Sri, et autres
Publié: (2025)

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer
par: Müller, Dominik, et autres
Publié: (2024)

Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification
par: Ochi, Mieko, et autres
Publié: (2025)

A bag of tricks for real-time Mitotic Figure detection
par: Marzahl, Christian, et autres
Publié: (2025)

Pan-Cancer mitotic figures detection and domain generalization: MIDOG 2025 Challenge
par: Shen, Zhuoyan, et autres
Publié: (2025)

Robust Pan-Cancer Mitotic Figure Detection with YOLOv12
par: Bourgade, Raphaël, et autres
Publié: (2025)

ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
par: Feki, Hana, et autres
Publié: (2025)

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images
par: Ganz, Jonathan, et autres
Publié: (2024)

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)
par: Bertram, Christof A., et autres
Publié: (2025)

OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides
par: Shen, Zhuoyan, et autres
Publié: (2024)

A Single Detect Focused YOLO Framework for Robust Mitotic Figure Detection
par: Topuz, Yasemin, et autres
Publié: (2025)

Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
par: Giedziun, Piotr, et autres
Publié: (2025)

Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification
par: Ganz, Jonathan, et autres
Publié: (2024)

Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
par: Schulze, Michael, et autres
Publié: (2025)

Action Recognition Using Temporal Shift Module and Ensemble Learning
par: Duong, Anh-Kiet, et autres
Publié: (2025)

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification
par: Ullah, Zahid, et autres
Publié: (2025)

Deep-Learning-Based Markerless Pose Estimation Systems in Gait Analysis: DeepLabCut Custom Training and the Refinement Function
par: Panconi, Giulia, et autres
Publié: (2024)

Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition
par: Hasegawa, Tatsuhito, et autres
Publié: (2022)

Parameter-efficient fine-tuning (PEFT) of Vision Foundation Models for Atypical Mitotic Figure Classification
par: Ramchandani, Lavish, et autres
Publié: (2025)

Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection
par: Sakai, Shunsuke, et autres
Publié: (2025)

Shape-Based Single Object Classification Using Ensemble Method Classifiers
par: Kamarudin, Nur Shazwani, et autres
Publié: (2025)

Scalable Framework for Classifying AI-Generated Content Across Modalities
par: Duong, Anh-Kiet, et autres
Publié: (2025)

Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
par: Fang, Kun, et autres
Publié: (2022)

Revealing Human Attention Patterns from Gameplay Analysis for Reinforcement Learning
par: Krauss, Henrik, et autres
Publié: (2025)

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
par: Amara, Jihen, et autres
Publié: (2024)

Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers
par: Alves, Paulo Luza, et autres
Publié: (2024)

Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification
par: Faria, Fabio A., et autres
Publié: (2023)

Ensemble of Small Classifiers For Imbalanced White Blood Cell Classification
par: Srivastava, Siddharth, et autres
Publié: (2026)