Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Tschuchnig, Maximilian, Gadermayr, Michael, Djemal, Khalifa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
by: Tschuchnig, Maximilian E., et al.
Published: (2022)
by: Tschuchnig, Maximilian E., et al.
Published: (2022)
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
by: Akter, Maksuda, et al.
Published: (2024)
by: Akter, Maksuda, et al.
Published: (2024)
Breast Cancer Image Classification Method Based on Deep Transfer Learning
by: Wang, Weimin, et al.
Published: (2024)
by: Wang, Weimin, et al.
Published: (2024)
Advanced Multi-Architecture Deep Learning Framework for BIRADS-Based Mammographic Image Retrieval: Comprehensive Performance Analysis with Super-Ensemble Optimization
by: Rahman, MD Shaikh, et al.
Published: (2025)
by: Rahman, MD Shaikh, et al.
Published: (2025)
Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
by: Bunnell, Arianna, et al.
Published: (2024)
by: Bunnell, Arianna, et al.
Published: (2024)
FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
by: Hao, Jiacheng, et al.
Published: (2025)
by: Hao, Jiacheng, et al.
Published: (2025)
Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning
by: Rawat, Richa, et al.
Published: (2025)
by: Rawat, Richa, et al.
Published: (2025)
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
by: Sengodan, Naren
Published: (2024)
by: Sengodan, Naren
Published: (2024)
Mammographic Breast Positioning Assessment via Deep Learning
by: Tanyel, Toygar, et al.
Published: (2024)
by: Tanyel, Toygar, et al.
Published: (2024)
Cross-Attention Multimodal Fusion for Breast Cancer Diagnosis: Integrating Mammography and Clinical Data with Explainability
by: Nantogmah, Muhaisin Tiyumba, et al.
Published: (2025)
by: Nantogmah, Muhaisin Tiyumba, et al.
Published: (2025)
Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Liu, Suxing
Published: (2023)
by: Liu, Suxing
Published: (2023)
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
by: Golestani, Negar, et al.
Published: (2024)
by: Golestani, Negar, et al.
Published: (2024)
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors
by: Sharma, Kiran, et al.
Published: (2025)
by: Sharma, Kiran, et al.
Published: (2025)
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)
by: Agarwal, Saurabh, et al.
Published: (2024)
Deep Learning for Breast MRI Style Transfer with Limited Training Data
by: Cao, Shixing, et al.
Published: (2023)
by: Cao, Shixing, et al.
Published: (2023)
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
by: Mamun, Abdullah Al, et al.
Published: (2025)
by: Mamun, Abdullah Al, et al.
Published: (2025)
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
by: Eskandari, Sania, et al.
Published: (2024)
by: Eskandari, Sania, et al.
Published: (2024)
Deep Transfer Learning for Kidney Cancer Diagnosis
by: Habchi, Yassine, et al.
Published: (2024)
by: Habchi, Yassine, et al.
Published: (2024)
Lung Cancer detection using Deep Learning
by: Chaudhari, Aryan, et al.
Published: (2025)
by: Chaudhari, Aryan, et al.
Published: (2025)
Clutter Classification Using Deep Learning in Multiple Stages
by: Dempsey, Ryan, et al.
Published: (2024)
by: Dempsey, Ryan, et al.
Published: (2024)
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge
by: Schmidt, Kendall, et al.
Published: (2024)
by: Schmidt, Kendall, et al.
Published: (2024)
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
by: Minh, Tran Cao, et al.
Published: (2024)
by: Minh, Tran Cao, et al.
Published: (2024)
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)
by: Talukder, Md. Alamin, et al.
Published: (2023)
Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging
by: Dorster, Manon A., et al.
Published: (2025)
by: Dorster, Manon A., et al.
Published: (2025)
Stool Recognition for Colorectal Cancer Detection through Deep Learning
by: Tan, Glenda Hui En, et al.
Published: (2024)
by: Tan, Glenda Hui En, et al.
Published: (2024)
Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture
by: Ahmad, W. S. H. M. W., et al.
Published: (2024)
by: Ahmad, W. S. H. M. W., et al.
Published: (2024)
Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment
by: Surya, Aaditya, et al.
Published: (2023)
by: Surya, Aaditya, et al.
Published: (2023)
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification
by: Hussain, Sadam, et al.
Published: (2024)
by: Hussain, Sadam, et al.
Published: (2024)
Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
by: Liu, Houze, et al.
Published: (2024)
by: Liu, Houze, et al.
Published: (2024)
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
by: Wong, Chun Kit, et al.
Published: (2025)
by: Wong, Chun Kit, et al.
Published: (2025)
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
by: Selcuk, Sahan Yoruc, et al.
Published: (2024)
by: Selcuk, Sahan Yoruc, et al.
Published: (2024)
Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification
by: Bramantyo, Hutama Arif, et al.
Published: (2026)
by: Bramantyo, Hutama Arif, et al.
Published: (2026)
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
by: Lei, Shuge, et al.
Published: (2024)
by: Lei, Shuge, et al.
Published: (2024)
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification
by: Panambur, Adarsh Bhandary, et al.
Published: (2024)
by: Panambur, Adarsh Bhandary, et al.
Published: (2024)
Similar Items
-
Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021) -
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
by: Tschuchnig, Maximilian, et al.
Published: (2025) -
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
by: Tschuchnig, Maximilian E., et al.
Published: (2022)