Imagen de Portada

Adversarially Robust Feature Learning for Breast Cancer Diagnosis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hao, Degan, Arefan, Dooman, Zuley, Margarita, Berg, Wendie, Wu, Shandong
Formato:	Preprint
Publicado:	2024
Materias:	Image and Video Processing Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction
por: Zhou, Zhengbo, et al.
Publicado: (2025)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
por: Zhou, Zhengbo, et al.
Publicado: (2024)

$Δ$t-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction
por: Zhou, Zhengbo, et al.
Publicado: (2025)

PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
por: Fröhlich, Alek, et al.
Publicado: (2024)

An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
por: Chaudhary, Neil, et al.
Publicado: (2025)

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
por: Cheng, Cheng, et al.
Publicado: (2025)

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

UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis
por: Minh, Tran Cao, et al.
Publicado: (2024)

Physics-Embedded Feature Learning for AI in Medical Imaging
por: Das, Pulock, et al.
Publicado: (2026)

Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
por: Xi, Pei, 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)

Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
por: Naftchi-Ardebili, Kasra, et al.
Publicado: (2023)

CutisAI: Deep Learning Framework for Automated Dermatology and Cancer Screening
por: Kaushik, Rohit, et al.
Publicado: (2026)

Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
por: Heckel, Reinhard, et al.
Publicado: (2024)

A Generative Imputation Method for Multimodal Alzheimer's Disease Diagnosis
por: Hassanzadeh, Reihaneh, et al.
Publicado: (2025)

DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission
por: Guo, Fupei, et al.
Publicado: (2025)

Deep Transfer Learning for Kidney Cancer Diagnosis
por: Habchi, Yassine, et al.
Publicado: (2024)

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
por: Molina-Román, Yusdivia, et al.
Publicado: (2025)

Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization
por: Ratchatorn, Tanapat, et al.
Publicado: (2024)

Evaluating Machine Learning-based Skin Cancer Diagnosis
por: Jain, Tanish
Publicado: (2024)

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

BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms
por: Sadeghsalehi, Hamidreza
Publicado: (2024)

Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset
por: Frants, Vladimir, et al.
Publicado: (2025)

Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection
por: Mateo-García, Gonzalo, et al.
Publicado: (2020)

ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing
por: Jia, Yixuan, et al.
Publicado: (2026)

Enhancing Fourier Neural Operators with Local Spatial Features
por: Liu, Chaoyu, et al.
Publicado: (2025)

Hyperspectral Reconstruction of Skin Through Fusion of Scattering Transform Features
por: Czaja, Wojciech, et al.
Publicado: (2024)

Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
por: Luo, Rui, et al.
Publicado: (2024)

Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning
por: Rawat, Richa, et al.
Publicado: (2025)

Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
por: Habchi, Yassine, et al.
Publicado: (2024)

Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
por: Yurt, Mahmut, et al.
Publicado: (2026)

Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
por: Dobiczek, Karol, et al.
Publicado: (2026)

Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
por: Ahmed, Maryam, et al.
Publicado: (2024)

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

LRMR: LLM-Driven Relational Multi-node Ranking for Lymph Node Metastasis Assessment in Rectal Cancer
por: Dong, Yaoxian, et al.
Publicado: (2025)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
por: Zhang, Xiaoge, et al.
Publicado: (2024)

An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
por: Saadatinia, Mehrshad, et al.
Publicado: (2023)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
por: Wang, Zi, et al.
Publicado: (2024)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
por: Osuala, Richard, et al.
Publicado: (2024)

Smart Diagnosis and Early Intervention in PCOS: A Deep Learning Approach to Women's Reproductive Health
por: Abrar, Shayan, et al.
Publicado: (2026)