Buchumschlag

A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Mallick, Sambit, Paul, Snigdha, Sen, Anindya
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Exploring the Efficacy of Partial Denoising Using Bit Plane Slicing for Enhanced Fracture Identification: A Comparative Study of Deep Learning-Based Approaches and Handcrafted Feature Extraction Techniques
von: Paul, Snigdha, et al.
Veröffentlicht: (2025)

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

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
von: Abbasniya, Mohammad Reza, et al.
Veröffentlicht: (2022)

A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body
von: Bose, Soumalya, et al.
Veröffentlicht: (2024)

Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN
von: Wu, Peihceng, et al.
Veröffentlicht: (2024)

FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
von: Hao, Jiacheng, et al.
Veröffentlicht: (2025)

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
von: Sani, Matina Mahdizadeh, et al.
Veröffentlicht: (2024)

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

Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis
von: Khandelwal, Aditya Shribhagwan, et al.
Veröffentlicht: (2026)

Hybrid Quantum Neural Networks for Enhanced Breast Cancer Thermographic Classification: A Novel Quantum-Classical Integration Approach
von: Syah, Riza Alaudin, et al.
Veröffentlicht: (2026)

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

Feature Engineering is Not Dead: Reviving Classical Machine Learning with Entropy, HOG, and LBP Feature Fusion for Image Classification
von: Sen, Abhijit, et al.
Veröffentlicht: (2025)

Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
von: Shiri, Mohammad, et al.
Veröffentlicht: (2024)

Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
von: Tschuchnig, Maximilian, et al.
Veröffentlicht: (2025)

Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
von: Pal, Surochita, et al.
Veröffentlicht: (2025)

SRA: A Novel Method to Improve Feature Embedding in Self-supervised Learning for Histopathological Images
von: Manoochehri, Hamid, et al.
Veröffentlicht: (2024)

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification
von: Ullah, Zahid, et al.
Veröffentlicht: (2025)

Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images
von: Khan, Hikmat, et al.
Veröffentlicht: (2025)

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

Breast Cancer Image Classification Method Based on Deep Transfer Learning
von: Wang, Weimin, et al.
Veröffentlicht: (2024)

Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review
von: Kunhoth, Suchithra, et al.
Veröffentlicht: (2024)

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

Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
von: Sengodan, Naren
Veröffentlicht: (2024)

Leveraging Medical Foundation Model Features in Graph Neural Network-Based Retrieval of Breast Histopathology Images
von: Saeidi, Nematollah, et al.
Veröffentlicht: (2024)

Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology
von: Taufika, Enam Ahmed, et al.
Veröffentlicht: (2026)

Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features
von: Ding, Jun-En, et al.
Veröffentlicht: (2023)

A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer
von: Usai, Marco, et al.
Veröffentlicht: (2025)

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

Efficient Classification of Histopathology Images
von: Nouyed, Mohammad Iqbal, et al.
Veröffentlicht: (2024)

Dataset Distillation for Histopathology Image Classification
von: Cong, Cong, et al.
Veröffentlicht: (2024)

Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images
von: Sekhar, Ardhendu, et al.
Veröffentlicht: (2024)

Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features
von: Goyal, Manu, et al.
Veröffentlicht: (2024)

Automatic Stack Velocity Picking Using an Unsupervised Ensemble Learning Method
von: Wang, H. T., et al.
Veröffentlicht: (2022)

Hierarchical Deep Feature Fusion and Ensemble Learning for Enhanced Brain Tumor MRI Classification
von: Ullah, Zahid, et al.
Veröffentlicht: (2025)

DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer
von: Jiang, Hai, et al.
Veröffentlicht: (2025)

CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach
von: Li, Hui, et al.
Veröffentlicht: (2024)

KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation
von: Srikijkasemwat, Nicharee, et al.
Veröffentlicht: (2024)

Hierarchical Classification for Improved Histopathology Image Analysis
von: Byeon, Keunho, et al.
Veröffentlicht: (2026)

Hybrid Quantum-Classical Model for Image Classification
von: Shahzad, Muhammad Adnan
Veröffentlicht: (2025)

Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning
von: Pourkeshavarz, Mozhgan, et al.
Veröffentlicht: (2023)