Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
Fuente:
arXiv
Guardado en:
| Autor principal: | Liu, Suxing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
por: Dey, Utsho Kumar
Publicado: (2026)
por: Dey, Utsho Kumar
Publicado: (2026)
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
por: Sengodan, Naren
Publicado: (2024)
por: Sengodan, Naren
Publicado: (2024)
Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
por: Saky, S M Asiful Islam, et al.
Publicado: (2025)
por: Saky, S M Asiful Islam, et al.
Publicado: (2025)
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
por: Minh, Tran Cao, et al.
Publicado: (2024)
por: Minh, Tran Cao, et al.
Publicado: (2024)
Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment
por: Surya, Aaditya, et al.
Publicado: (2023)
por: Surya, Aaditya, et al.
Publicado: (2023)
Perception and Localization of Macular Degeneration Applying Convolutional Neural Network, ResNet and Grad-CAM
por: Hossain, Tahmim, et al.
Publicado: (2024)
por: Hossain, Tahmim, et al.
Publicado: (2024)
Breast Cancer Image Classification Method Based on Deep Transfer Learning
por: Wang, Weimin, et al.
Publicado: (2024)
por: Wang, Weimin, et al.
Publicado: (2024)
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
por: Tschuchnig, Maximilian, et al.
Publicado: (2025)
por: Tschuchnig, Maximilian, et al.
Publicado: (2025)
Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning
por: Rawat, Richa, et al.
Publicado: (2025)
por: Rawat, Richa, et al.
Publicado: (2025)
Is Grad-CAM Explainable in Medical Images?
por: Suara, Subhashis, et al.
Publicado: (2023)
por: Suara, Subhashis, et al.
Publicado: (2023)
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
por: Golestani, Negar, et al.
Publicado: (2024)
por: Golestani, Negar, et al.
Publicado: (2024)
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification
por: Panambur, Adarsh Bhandary, et al.
Publicado: (2024)
por: Panambur, Adarsh Bhandary, et al.
Publicado: (2024)
TransUNet-GradCAM: A Hybrid Transformer-U-Net with Self-Attention and Explainable Visualizations for Foot Ulcer Segmentation
por: Asare, Akwasi, et al.
Publicado: (2025)
por: Asare, Akwasi, et al.
Publicado: (2025)
GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
por: Tabassum, Sumaiya, et al.
Publicado: (2025)
por: Tabassum, Sumaiya, et al.
Publicado: (2025)
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
por: Rheude, Tillmann, et al.
Publicado: (2024)
por: Rheude, Tillmann, et al.
Publicado: (2024)
Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging
por: Dorster, Manon A., et al.
Publicado: (2025)
por: Dorster, Manon A., et al.
Publicado: (2025)
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
por: Ahmadi, Mohsen, et al.
Publicado: (2023)
por: Ahmadi, Mohsen, et al.
Publicado: (2023)
Towards Interpretable Attention Networks for Cervical Cancer Analysis
por: Wang, Ruiqi, et al.
Publicado: (2021)
por: Wang, Ruiqi, et al.
Publicado: (2021)
Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture
por: Ahmad, W. S. H. M. W., et al.
Publicado: (2024)
por: Ahmad, W. S. H. M. W., et al.
Publicado: (2024)
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
por: Lei, Shuge, et al.
Publicado: (2024)
por: Lei, Shuge, et al.
Publicado: (2024)
Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
por: Osuala, Richard, et al.
Publicado: (2023)
por: Osuala, Richard, et al.
Publicado: (2023)
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation
por: Schmidt, Christian, et al.
Publicado: (2025)
por: Schmidt, Christian, et al.
Publicado: (2025)
MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification
por: Caldera, Luca, et al.
Publicado: (2025)
por: Caldera, Luca, et al.
Publicado: (2025)
Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies
por: Marzouki, Amine, et al.
Publicado: (2024)
por: Marzouki, Amine, et al.
Publicado: (2024)
Cross-Attention Multimodal Fusion for Breast Cancer Diagnosis: Integrating Mammography and Clinical Data with Explainability
por: Nantogmah, Muhaisin Tiyumba, et al.
Publicado: (2025)
por: Nantogmah, Muhaisin Tiyumba, et al.
Publicado: (2025)
SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification
por: Du, Yuexi, et al.
Publicado: (2024)
por: Du, Yuexi, et al.
Publicado: (2024)
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
por: Li, Bao, et al.
Publicado: (2023)
por: Li, Bao, et al.
Publicado: (2023)
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation
por: Roy, Ayush, et al.
Publicado: (2024)
por: Roy, Ayush, et al.
Publicado: (2024)
Non-Invasive Detection of PROState Cancer with Novel Time-Dependent Diffusion MRI and AI-Enhanced Quantitative Radiological Interpretation: PROS-TD-AI
por: Ramos, Baltasar, et al.
Publicado: (2025)
por: Ramos, Baltasar, et al.
Publicado: (2025)
Breast Cancer Neoadjuvant Chemotherapy Treatment Response Prediction Using Aligned Longitudinal MRI and Clinical Data
por: Ravi, Rahul, et al.
Publicado: (2025)
por: Ravi, Rahul, et al.
Publicado: (2025)
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
por: Sadeghnezhad, Elham, et al.
Publicado: (2024)
por: Sadeghnezhad, Elham, et al.
Publicado: (2024)
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology
por: Mondol, Raktim Kumar, et al.
Publicado: (2025)
por: Mondol, Raktim Kumar, et al.
Publicado: (2025)
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination
por: Arora, Vidhu, et al.
Publicado: (2025)
por: Arora, Vidhu, et al.
Publicado: (2025)
A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases
por: Jain, Ananya, et al.
Publicado: (2024)
por: Jain, Ananya, et al.
Publicado: (2024)
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
por: Chatterjee, Soumick, et al.
Publicado: (2020)
por: Chatterjee, Soumick, et al.
Publicado: (2020)
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge
por: Schmidt, Kendall, et al.
Publicado: (2024)
por: Schmidt, Kendall, et al.
Publicado: (2024)
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
por: Tschuchnig, Maximilian E., et al.
Publicado: (2022)
por: Tschuchnig, Maximilian E., et al.
Publicado: (2022)
MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification
por: Bala, Diponkor, et al.
Publicado: (2024)
por: Bala, Diponkor, et al.
Publicado: (2024)
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
por: Agarwal, Saurabh, et al.
Publicado: (2024)
por: Agarwal, Saurabh, et al.
Publicado: (2024)
Using ResNet to Utilize 4-class T2-FLAIR Slice Classification Based on the Cholinergic Pathways Hyperintensities Scale for Pathological Aging
por: Tsai, Wei-Chun Kevin, et al.
Publicado: (2023)
por: Tsai, Wei-Chun Kevin, et al.
Publicado: (2023)
Ejemplares similares
-
CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
por: Dey, Utsho Kumar
Publicado: (2026) -
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
por: Sengodan, Naren
Publicado: (2024) -
Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
por: Saky, S M Asiful Islam, et al.
Publicado: (2025) -
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
por: Minh, Tran Cao, et al.
Publicado: (2024) -
Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment
por: Surya, Aaditya, et al.
Publicado: (2023)