Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Luyang, Wang, Xi, Lin, Yi, Ma, Xiaoqi, Tan, Andong, Chan, Ronald, Vardhanabhuti, Varut, Chu, Winnie CW, Cheng, Kwang-Ting, Chen, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition
by: Wu, Linshan, et al.
Published: (2025)
by: Wu, Linshan, et al.
Published: (2025)
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment
by: Chen, Kecheng, et al.
Published: (2023)
by: Chen, Kecheng, et al.
Published: (2023)
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
by: Hao, Degan, et al.
Published: (2024)
by: Hao, Degan, et al.
Published: (2024)
A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
by: Luo, Luyang, et al.
Published: (2024)
by: Luo, Luyang, et al.
Published: (2024)
Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)
by: Osman, Showkat, et al.
Published: (2025)
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
by: Faraji, Mahtab, et al.
Published: (2024)
by: Faraji, Mahtab, et al.
Published: (2024)
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging
by: Deng, Zhipeng, et al.
Published: (2024)
by: Deng, Zhipeng, et al.
Published: (2024)
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
by: Wang, Xiaoqi, et al.
Published: (2024)
by: Wang, Xiaoqi, et al.
Published: (2024)
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)
by: Lin, Yi, 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)
PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
by: Luo, Yang, et al.
Published: (2025)
by: Luo, Yang, et al.
Published: (2025)
Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
by: Xi, Pei, et al.
Published: (2024)
by: Xi, Pei, 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)
Rigid Motion Estimation using Accelerated Iterative Coordinate Descent (REACT) for MR Imaging
by: Jang, Kwang Eun, et al.
Published: (2026)
by: Jang, Kwang Eun, et al.
Published: (2026)
Comparative Analysis of Deep Learning Architectures for Breast Region Segmentation with a Novel Breast Boundary Proposal
by: Narimani, Sam, et al.
Published: (2024)
by: Narimani, Sam, et al.
Published: (2024)
Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction
by: Verinaz-Jadan, Herman, et al.
Published: (2024)
by: Verinaz-Jadan, Herman, et al.
Published: (2024)
Rate-Distortion-Perception Controllable Joint Source-Channel Coding for High-Fidelity Generative Communications
by: Tan, Kailin, et al.
Published: (2024)
by: Tan, Kailin, et al.
Published: (2024)
Graph Neural Networks with Transformer Fusion of Brain Connectivity Dynamics and Tabular Data for Forecasting Future Tobacco Use
by: Zhou, Runzhi, et al.
Published: (2025)
by: Zhou, Runzhi, et al.
Published: (2025)
Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2025)
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2025)
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)
Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications
by: Qiu, Zelin, et al.
Published: (2025)
by: Qiu, Zelin, et al.
Published: (2025)
HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation
by: Li, Haoxuan, et al.
Published: (2025)
by: Li, Haoxuan, et al.
Published: (2025)
A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
by: Ahad, Md Taimur, et al.
Published: (2024)
by: Ahad, Md Taimur, et al.
Published: (2024)
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
by: Zhai, Yongqi, et al.
Published: (2024)
by: Zhai, Yongqi, et al.
Published: (2024)
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
by: Fröhlich, Alek, et al.
Published: (2024)
by: Fröhlich, Alek, et al.
Published: (2024)
An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
by: Chaudhary, Neil, et al.
Published: (2025)
by: Chaudhary, Neil, et al.
Published: (2025)
Breast Cancer Image Classification Method Based on Deep Transfer Learning
by: Wang, Weimin, et al.
Published: (2024)
by: Wang, Weimin, et al.
Published: (2024)
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2023)
by: Lin, Yi, et al.
Published: (2023)
A 28nm 0.22μJ/token memory-compute-intensity-aware CNN-Transformer accelerator with hybrid-attention-based layer-fusion and cascaded pruning for semantic-segmentation
by: Dong, Pingcheng, et al.
Published: (2025)
by: Dong, Pingcheng, et al.
Published: (2025)
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
by: Brown-Mulry, Beatrice, et al.
Published: (2025)
by: Brown-Mulry, Beatrice, et al.
Published: (2025)
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)
by: Afshin, Pouya, et al.
Published: (2025)
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool
by: Su, Ziyu, et al.
Published: (2024)
by: Su, Ziyu, et al.
Published: (2024)
Attention-Guided Fair AI Modeling for Skin Cancer Diagnosis
by: Zhu, Mingcheng, et al.
Published: (2025)
by: Zhu, Mingcheng, et al.
Published: (2025)
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, 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)
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
by: Lopez, Eleonora, et al.
Published: (2023)
by: Lopez, Eleonora, et al.
Published: (2023)
Deep Unfolding Real-Time Super-Resolution Using Subpixel-Shift Twin Image and Convex Self-Similarity Prior
by: Lin, Chia-Hsiang, et al.
Published: (2026)
by: Lin, Chia-Hsiang, et al.
Published: (2026)
Assessment of Clonal Hematopoiesis of Indeterminate Potential and Future Cardiomyopathy from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population
by: Xing, Jiarui, et al.
Published: (2024)
by: Xing, Jiarui, et al.
Published: (2024)
Similar Items
-
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition
by: Wu, Linshan, et al.
Published: (2025) -
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment
by: Chen, Kecheng, et al.
Published: (2023) -
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
by: Hao, Degan, et al.
Published: (2024) -
A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
by: Luo, Luyang, et al.
Published: (2024) -
Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)