Learning Class Difficulty in Imbalanced Histopathology Segmentation via Dynamic Focal Attention
Fuente:
arXiv
Saved in:
| Main Authors: | Kumari, Lakmali Nadeesha, Cheung, Sen-Ching Samson |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
by: Khan, Tariq M, et al.
Published: (2024)
by: Khan, Tariq M, et al.
Published: (2024)
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
by: Alam, Bashir, et al.
Published: (2025)
by: Alam, Bashir, et al.
Published: (2025)
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification
by: Pasupa, Kitsuchart, et al.
Published: (2020)
by: Pasupa, Kitsuchart, et al.
Published: (2020)
Segment Anything for Histopathology
by: Griebel, Titus, et al.
Published: (2025)
by: Griebel, Titus, et al.
Published: (2025)
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
by: Khan, Tariq M, et al.
Published: (2024)
by: Khan, Tariq M, et al.
Published: (2024)
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)
by: Kumari, Suruchi, et al.
Published: (2024)
Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation
by: Huang, Zhengyong, et al.
Published: (2026)
by: Huang, Zhengyong, et al.
Published: (2026)
Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
by: Fatema, Kaniz, et al.
Published: (2025)
by: Fatema, Kaniz, et al.
Published: (2025)
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
by: Xu, Meilong, et al.
Published: (2023)
by: Xu, Meilong, et al.
Published: (2023)
Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images
by: Patil, Abhijeet, et al.
Published: (2024)
by: Patil, Abhijeet, et al.
Published: (2024)
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis
by: Vuong, Trinh Thi Le, et al.
Published: (2023)
by: Vuong, Trinh Thi Le, et al.
Published: (2023)
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)
by: Fischer, Maximilian, et al.
Published: (2024)
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields
by: Hu, Jintong, et al.
Published: (2024)
by: Hu, Jintong, et al.
Published: (2024)
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset
by: Naruenatthanaset, Korranat, et al.
Published: (2020)
by: Naruenatthanaset, Korranat, et al.
Published: (2020)
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation
by: Xing, Ruiqi
Published: (2025)
by: Xing, Ruiqi
Published: (2025)
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
by: Li, Huiyu, et al.
Published: (2025)
by: Li, Huiyu, et al.
Published: (2025)
Addressing Class Imbalance and Data Limitations in Advanced Node Semiconductor Defect Inspection: A Generative Approach for SEM Images
by: Dey, Bappaditya, et al.
Published: (2024)
by: Dey, Bappaditya, et al.
Published: (2024)
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
by: Li, Meng, et al.
Published: (2022)
by: Li, Meng, et al.
Published: (2022)
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
by: Vahedi, Behzad, et al.
Published: (2024)
by: Vahedi, Behzad, et al.
Published: (2024)
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
by: Liu, Zijiang, et al.
Published: (2024)
by: Liu, Zijiang, et al.
Published: (2024)
Efficient Classification of Histopathology Images
by: Nouyed, Mohammad Iqbal, et al.
Published: (2024)
by: Nouyed, Mohammad Iqbal, et al.
Published: (2024)
Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions
by: Li, Yangping, et al.
Published: (2026)
by: Li, Yangping, et al.
Published: (2026)
Sequential Attention-based Sampling for Histopathological Analysis
by: G, Tarun, et al.
Published: (2025)
by: G, Tarun, et al.
Published: (2025)
Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
by: Obeid, Ahmad, et al.
Published: (2024)
by: Obeid, Ahmad, et al.
Published: (2024)
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)
by: Wang, Ziyang, et al.
Published: (2022)
SPOT: Sparsification with Attention Dynamics via Token Relevance in Vision Transformers
by: Schlesinger, Oded, et al.
Published: (2025)
by: Schlesinger, Oded, et al.
Published: (2025)
Medical Image Segmentation Using Directional Window Attention
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2024)
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2024)
URCDM: Ultra-Resolution Image Synthesis in Histopathology
by: Cechnicka, Sarah, et al.
Published: (2024)
by: Cechnicka, Sarah, et al.
Published: (2024)
Classification of Histopathology Slides with Persistent Homology Convolutions
by: Pothagoni, Shrunal, et al.
Published: (2025)
by: Pothagoni, Shrunal, et al.
Published: (2025)
Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack
by: Aydin, M. Kerem, et al.
Published: (2025)
by: Aydin, M. Kerem, et al.
Published: (2025)
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
by: Chen, Fuyao, et al.
Published: (2025)
by: Chen, Fuyao, et al.
Published: (2025)
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)
by: Kumari, Suruchi, et al.
Published: (2024)
Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
by: Islam, Md Rakibul, et al.
Published: (2024)
by: Islam, Md Rakibul, et al.
Published: (2024)
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention
by: Huang, Huan, et al.
Published: (2024)
by: Huang, Huan, et al.
Published: (2024)
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
by: Dai, Wei, et al.
Published: (2024)
by: Dai, Wei, et al.
Published: (2024)
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation
by: Roy, Ayush, et al.
Published: (2024)
by: Roy, Ayush, et al.
Published: (2024)
Overfitting in Histopathology Model Training: The Need for Customized Architectures
by: Alfasly, Saghir, et al.
Published: (2025)
by: Alfasly, Saghir, et al.
Published: (2025)
MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)
by: Sarkar, Ovi, et al.
Published: (2025)
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
by: Shao, Hao, et al.
Published: (2023)
by: Shao, Hao, et al.
Published: (2023)
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation
by: Nazib, Abdullah, et al.
Published: (2023)
by: Nazib, Abdullah, et al.
Published: (2023)
Similar Items
-
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
by: Khan, Tariq M, et al.
Published: (2024) -
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
by: Alam, Bashir, et al.
Published: (2025) -
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification
by: Pasupa, Kitsuchart, et al.
Published: (2020) -
Segment Anything for Histopathology
by: Griebel, Titus, et al.
Published: (2025) -
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
by: Khan, Tariq M, et al.
Published: (2024)