MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances
Fuente:
arXiv
Saved in:
| Main Authors: | Kotte, Sujatha, Saipradeep, Vangala Govindakrishnan, Walia, Vidushi, Nandagopal, Dhandapani, Joseph, Thomas, Sivadasan, Naveen, Lali, Bhagat Singh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025
by: Xu, Shuting, et al.
Published: (2025)
by: Xu, Shuting, et al.
Published: (2025)
Automated Classification of Normal and Atypical Mitotic Figures Using ConvNeXt V2: MIDOG 2025 Track 2
by: Yamagishi, Yosuke, et al.
Published: (2025)
by: Yamagishi, Yosuke, et al.
Published: (2025)
Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge
by: Meng, Biwen, et al.
Published: (2025)
by: Meng, Biwen, et al.
Published: (2025)
Handling Class Imbalance Problem in Skin Lesion Classification: Finding Strengths and Weaknesses of Various Balancing Techniques
by: Khandaker, Ariful Islam, et al.
Published: (2025)
by: Khandaker, Ariful Islam, et al.
Published: (2025)
On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images
by: Ganz, Jonathan, et al.
Published: (2024)
by: Ganz, Jonathan, et al.
Published: (2024)
Efficient Fine-Tuning of DINOv3 Pretrained on Natural Images for Atypical Mitotic Figure Classification (MIDOG 2025 Task 2 Winner)
by: Balezo, Guillaume, et al.
Published: (2025)
by: Balezo, Guillaume, et al.
Published: (2025)
ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks
by: Odugoudar, Aryan, et al.
Published: (2023)
by: Odugoudar, Aryan, et al.
Published: (2023)
RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
by: Giedziun, Piotr, et al.
Published: (2025)
by: Giedziun, Piotr, et al.
Published: (2025)
MIDOG 2025: Mitotic Figure Detection with Attention-Guided False Positive Correction
by: Broad, Andrew, et al.
Published: (2025)
by: Broad, Andrew, et al.
Published: (2025)
Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
by: Andersen, Amalie Koch, et al.
Published: (2026)
by: Andersen, Amalie Koch, et al.
Published: (2026)
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
by: Hayes, Nicole, et al.
Published: (2024)
by: Hayes, Nicole, et al.
Published: (2024)
Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification
by: Ochi, Mieko, et al.
Published: (2025)
by: Ochi, Mieko, et al.
Published: (2025)
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
by: Wang, Yingxu, et al.
Published: (2024)
by: Wang, Yingxu, et al.
Published: (2024)
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
by: Su, Yujia, et al.
Published: (2025)
by: Su, Yujia, et al.
Published: (2025)
BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
by: Yuan, Xiao
Published: (2023)
by: Yuan, Xiao
Published: (2023)
EMOTIONAL STORYTELLING IN CADBURY'S ADVERTISING: AN EMPIRICAL ANALYSIS OF CONSUMER BEHAVIOR IN BANGALORE
by: Vidushi Jain, et al.
Published: (2025)
by: Vidushi Jain, et al.
Published: (2025)
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
by: Kaur, Arshmeet, et al.
Published: (2024)
by: Kaur, Arshmeet, et al.
Published: (2024)
Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition
by: Benito-Del-Valle, Leire, et al.
Published: (2025)
by: Benito-Del-Valle, Leire, et al.
Published: (2025)
Primary angiosarcoma of the oral cavity in a young adult
by: Bhagat Singh Lali
Published: (2021)
by: Bhagat Singh Lali
Published: (2021)
Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection
by: Song, Euiseop, et al.
Published: (2025)
by: Song, Euiseop, et al.
Published: (2025)
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
by: Bini, Lorenzo, et al.
Published: (2024)
by: Bini, Lorenzo, et al.
Published: (2024)
DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining
by: Nawar, Youssof, et al.
Published: (2024)
by: Nawar, Youssof, et al.
Published: (2024)
ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
by: Michalewicz, Kevin, et al.
Published: (2024)
by: Michalewicz, Kevin, et al.
Published: (2024)
Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
by: Rafati, Z., et al.
Published: (2025)
by: Rafati, Z., et al.
Published: (2025)
Classifying Mitotic Figures in the MIDOG25 Challenge with Deep Ensemble Learning and Rule Based Refinement
by: Krauss, Sara, et al.
Published: (2025)
by: Krauss, Sara, et al.
Published: (2025)
Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction
by: Wild, Romina, et al.
Published: (2024)
by: Wild, Romina, et al.
Published: (2024)
Learning Normal Representations for Blood Biomarkers
by: Shah, Aashna P., et al.
Published: (2026)
by: Shah, Aashna P., et al.
Published: (2026)
TransientTrack: Advanced Multi-Object Tracking and Classification of Cancer Cells with Transient Fluorescent Signals
by: Bürger, Florian, et al.
Published: (2025)
by: Bürger, Florian, et al.
Published: (2025)
Deep Clustering for Blood Cell Classification and Quantification
by: Macarie-Ancau, Mihaela, et al.
Published: (2025)
by: Macarie-Ancau, Mihaela, et al.
Published: (2025)
Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)
by: Bertram, Christof A., et al.
Published: (2025)
by: Bertram, Christof A., et al.
Published: (2025)
Quantum Variational Transformer Model for Enhanced Cancer Classification
by: Roosan, Don, et al.
Published: (2025)
by: Roosan, Don, et al.
Published: (2025)
A Novel Method for Clustering Cellular Data to Improve Classification
by: Wheeler, Diek W., et al.
Published: (2024)
by: Wheeler, Diek W., et al.
Published: (2024)
Life as Non-Normal Chemical Accelerator
by: Sornette, Didier, et al.
Published: (2025)
by: Sornette, Didier, et al.
Published: (2025)
Enhancing Morpho-Kinematic analysis for Plant Water Stress Classification through Leaf Movements
by: Polilli, Walter, et al.
Published: (2025)
by: Polilli, Walter, et al.
Published: (2025)
Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
by: Fang, Zijie, et al.
Published: (2023)
by: Fang, Zijie, et al.
Published: (2023)
TrackStudio: An Integrated Toolkit for Markerless Tracking
by: Dimitrov, Hristo, et al.
Published: (2025)
by: Dimitrov, Hristo, et al.
Published: (2025)
Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
by: Venkatesh, Danush Kumar, et al.
Published: (2025)
by: Venkatesh, Danush Kumar, et al.
Published: (2025)
Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
by: Siyu, et al.
Published: (2024)
by: Siyu, et al.
Published: (2024)
Spatial Insight: How Data-Driven Regions of Interest Selection Enhances Single-Trial P300 Classification in EEG-Based BCIs
by: Guttmann-Flury, Eva, et al.
Published: (2025)
by: Guttmann-Flury, Eva, et al.
Published: (2025)
CAFA-evaluator: A Python Tool for Benchmarking Ontological Classification Methods
by: Piovesan, Damiano, et al.
Published: (2023)
by: Piovesan, Damiano, et al.
Published: (2023)
Similar Items
-
Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025
by: Xu, Shuting, et al.
Published: (2025) -
Automated Classification of Normal and Atypical Mitotic Figures Using ConvNeXt V2: MIDOG 2025 Track 2
by: Yamagishi, Yosuke, et al.
Published: (2025) -
Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge
by: Meng, Biwen, et al.
Published: (2025) -
Handling Class Imbalance Problem in Skin Lesion Classification: Finding Strengths and Weaknesses of Various Balancing Techniques
by: Khandaker, Ariful Islam, et al.
Published: (2025) -
On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images
by: Ganz, Jonathan, et al.
Published: (2024)