Cover Image

SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Yuexi, Hooley, Regina J., Lewin, John, Dvornek, Nicha C.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Ultrasound Foundation Models for Fetal Plane Classification
by: Barrientos, Leya, et al.
Published: (2026)

SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
by: Du, Yuexi, et al.
Published: (2025)

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
by: Zhang, Jiazhen, et al.
Published: (2025)

GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings
by: Du, Yuexi, et al.
Published: (2025)

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
by: Chen, Fuyao, et al.
Published: (2025)

Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis
by: Chen, Fuyao, et al.
Published: (2026)

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
by: Brown-Mulry, Beatrice, et al.
Published: (2025)

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)

Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder
by: Duan, Peiyu, et al.
Published: (2024)

Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification
by: Duan, Peiyu, et al.
Published: (2025)

Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms
by: Jonnalagadda, Aditya, et al.
Published: (2024)

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
by: Zhou, Yinchi, et al.
Published: (2024)

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
by: Liu, Zelong, et al.
Published: (2024)

Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning
by: Wang, Xin, et al.
Published: (2024)

Towards Zero-Shot Task-Generalizable Learning on fMRI
by: Wang, Jiyao, et al.
Published: (2025)

Subject-Specific Low-Field MRI Synthesis via a Neural Operator
by: Gao, Ziqi, et al.
Published: (2026)

Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
by: Dam, Tanmoy, et al.
Published: (2021)

Image Deraining via Self-supervised Reinforcement Learning
by: Liao, He-Hao, et al.
Published: (2024)

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)

Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)

WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
by: Zhao, Haoyu, et al.
Published: (2024)

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

Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis
by: Tang, Yifei, et al.
Published: (2025)

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
by: Huang, Lijie, et al.
Published: (2025)

Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images
by: Musah, Toufiq
Published: (2025)

Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement
by: Kar, Aupendu, et al.
Published: (2025)

Efficient Fine-Tuning of DINOv3 Pretrained on Natural Images for Atypical Mitotic Figure Classification (MIDOG 2025 Task 2 Winner)
by: Balezo, Guillaume, et al.
Published: (2025)

SIDME: Self-supervised Image Demoiréing via Masked Encoder-Decoder Reconstruction
by: Wang, Xia, et al.
Published: (2025)

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
by: Mansoori, Mobina, et al.
Published: (2025)

Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
by: Kim, Jungwoo, et al.
Published: (2026)

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
by: Duan, Peiyu, et al.
Published: (2026)

Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting
by: Li, Shuo, et al.
Published: (2024)

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
by: You, Chenyu, et al.
Published: (2022)

TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
by: Sheng, Xiangfei, et al.
Published: (2025)

Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset
by: Naruenatthanaset, Korranat, et al.
Published: (2020)

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

Score-based Self-supervised MRI Denoising
by: Tu, Jiachen, et al.
Published: (2025)

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
by: Lopez, Eleonora, et al.
Published: (2023)

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
by: Zhang, Zerui, et al.
Published: (2024)