Copertina

Detecting and Monitoring Bias for Subgroups in Breast Cancer Detection AI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kundu, Amit Kumar, Doo, Florence X., Patil, Vaishnavi, Varshney, Amitabh, Jaja, Joseph
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Boosting Open Set Recognition Performance through Modulated Representation Learning
di: Kundu, Amit Kumar, et al.
Pubblicazione: (2025)

SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting
di: Asthana, Pranav, et al.
Pubblicazione: (2025)

Early Detection and Classification of Breast Cancer Using Deep Learning Techniques
di: Labonno, Mst. Mumtahina, et al.
Pubblicazione: (2025)

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging
di: Dorster, Manon A., et al.
Pubblicazione: (2025)

Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks
di: Hamdan, Emadeldeen, et al.
Pubblicazione: (2026)

Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
di: Denton, Remi, et al.
Pubblicazione: (2019)

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
di: Bunnell, Arianna, et al.
Pubblicazione: (2024)

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
di: Suhail, Pirzada, et al.
Pubblicazione: (2025)

WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views
di: Jin, SeongMin, et al.
Pubblicazione: (2026)

Detecting AI-generated Artwork
di: Li, Meien, et al.
Pubblicazione: (2025)

Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays
di: Rafferty, Amy, et al.
Pubblicazione: (2024)

MaskVD: Region Masking for Efficient Video Object Detection
di: Sarkar, Sreetama, et al.
Pubblicazione: (2024)

The Potential of Convolutional Neural Networks for Cancer Detection
di: Molaeian, Hossein, et al.
Pubblicazione: (2024)

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
di: Hermary, Romain, et al.
Pubblicazione: (2025)

Advanced Gesture Recognition for Autism Spectrum Disorder Detection: Integrating YOLOv7, Video Augmentation, and VideoMAE for Naturalistic Video Analysis
di: Singh, Amit Kumar, et al.
Pubblicazione: (2024)

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
di: Drenkow, Nathan, et al.
Pubblicazione: (2025)

Towards Accessible Learning: Deep Learning-Based Potential Dysgraphia Detection and OCR for Potentially Dysgraphic Handwriting
di: D, Vydeki, et al.
Pubblicazione: (2024)

Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
di: Gustafsson, Fredrik K., et al.
Pubblicazione: (2026)

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
di: Guimard, Quentin, et al.
Pubblicazione: (2025)

Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
di: Kumar, Athindran Ramesh, et al.
Pubblicazione: (2018)

Multi-Species Object Detection in Drone Imagery for Population Monitoring of Endangered Animals
di: Sankaran, Sowmya
Pubblicazione: (2024)

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

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
di: Fein, Will, et al.
Pubblicazione: (2025)

The Unwinnable Arms Race of AI Image Detection
di: Aczel, Till, et al.
Pubblicazione: (2025)

Detecting AI-Generated Images via CLIP
di: Moskowitz, A. G., et al.
Pubblicazione: (2024)

From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models
di: Chhua, Kaylee, et al.
Pubblicazione: (2024)

Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies
di: Marzouki, Amine, et al.
Pubblicazione: (2024)

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
di: Amer, Mohammed, et al.
Pubblicazione: (2025)

Automatic Discovery of Disease Subgroups by Contrasting with Healthy Controls
di: Louiset, Robin, et al.
Pubblicazione: (2026)

DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection
di: Shen, Jialiang, et al.
Pubblicazione: (2025)

Breast Cancer VLMs: Clinically Practical Vision-Language Train-Inference Models
di: Zheng, Shunjie-Fabian, et al.
Pubblicazione: (2025)

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring
di: Sanchez, Raul David Dominguez, et al.
Pubblicazione: (2025)

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
di: Zhang, Shuhai, et al.
Pubblicazione: (2025)

Rethinking the Use of Vision Transformers for AI-Generated Image Detection
di: Park, NaHyeon, et al.
Pubblicazione: (2025)

MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection
di: Pallerla, Chaitanya, et al.
Pubblicazione: (2026)

Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
di: Pal, Shivam, et al.
Pubblicazione: (2025)

Detection of Cyberbullying in GIF using AI
di: Dave, Pal, et al.
Pubblicazione: (2025)

TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
di: Ye, Yinyu, et al.
Pubblicazione: (2024)

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
di: Chen, Yuanhong, et al.
Pubblicazione: (2023)

Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges
di: Xu, Qijie, et al.
Pubblicazione: (2025)