Cover Image

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Suxing, Liu, Min, Byungwon
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

GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification
by: Gao, Lin-Guo, et al.
Published: (2026)

Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data
by: Shandiz, Amin Honarmandi
Published: (2025)

Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Liu, Suxing
Published: (2023)

A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method
by: Mallick, Sambit, et al.
Published: (2024)

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

Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology
by: Osorio, Pedro, et al.
Published: (2023)

NuSeC: A Dataset for Nuclei Segmentation in Breast Cancer Histopathology Images
by: Samet, Refik, et al.
Published: (2025)

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
by: Abdullakutty, Faseela, et al.
Published: (2024)

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
by: Dedieu, Lucas, et al.
Published: (2024)

MiDeSeC: A Dataset for Mitosis Detection and Segmentation in Breast Cancer Histopathology Images
by: Samet, Refik, et al.
Published: (2025)

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
by: Ding, Weiping, et al.
Published: (2024)

Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance
by: Ezuma, Ifeanyi, et al.
Published: (2026)

Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
by: Pan, Liangrui, et al.
Published: (2026)

Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
by: Murphy, Gary, et al.
Published: (2024)

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

SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
by: Bai, Yu, et al.
Published: (2025)

Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging
by: Shaik, Nagur Shareef, et al.
Published: (2026)

Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion
by: Salem, Sepehr, et al.
Published: (2025)

On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
by: Sobrinho, Yasmin Rodrigues, et al.
Published: (2026)

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

A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
by: Breen, Jack, et al.
Published: (2024)

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

ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models
by: Luo, Wei, et al.
Published: (2026)

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

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

From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer
by: Yang, Zijiang, et al.
Published: (2024)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
by: Singh, Pranav, et al.
Published: (2023)

ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
by: Vijendran, Mridula, et al.
Published: (2024)

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis
by: Ling, Xitong, et al.
Published: (2025)

Adaptive Deep Learning for Breast Cancer Subtype Prediction Via Misprediction Risk Analysis
by: Sheeraz, Gul, et al.
Published: (2025)

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
by: Fang, Zijie, et al.
Published: (2024)

Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images
by: Borji, Arezoo, et al.
Published: (2024)

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
by: Chen, Yuanhong, et al.
Published: (2023)

AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images
by: Roy, Ayush, et al.
Published: (2024)

Chaotic CNN for Limited Data Image Classification
by: M, Anusree, et al.
Published: (2026)

Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos
by: Cui, Xiangxiang, et al.
Published: (2025)

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

Automatic Image-Level Morphological Trait Annotation for Organismal Images
by: Pahuja, Vardaan, et al.
Published: (2026)

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

Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures
by: Blondin, Célia, et al.
Published: (2024)