Image de couverture de livre

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Yixuan, Bhatia, Kanwal K., Fetit, Ahmed E.
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
par: Castro-Macías, Francisco M., et autres
Publié: (2024)

Towards a multimodal framework for remote sensing image change retrieval and captioning
par: Ferrod, Roger, et autres
Publié: (2024)

Comparison of fine-tuning strategies for transfer learning in medical image classification
par: Davila, Ana, et autres
Publié: (2024)

Closing the gap in multimodal medical representation alignment
par: Grassucci, Eleonora, et autres
Publié: (2026)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification
par: Huang, Zhe, et autres
Publié: (2023)

SCE-LITE-HQ: Smooth visual counterfactual explanations with generative foundation models
par: Zeid, Ahmed, et autres
Publié: (2026)

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction
par: MacRae, Daniel C., et autres
Publié: (2026)

Visual concept ranking uncovers medical shortcuts used by large multimodal models
par: Janizek, Joseph D., et autres
Publié: (2026)

Automated detection of underdiagnosed medical conditions via opportunistic imaging
par: Aali, Asad, et autres
Publié: (2024)

Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
par: Zingman, Igor, et autres
Publié: (2022)

Aligned explanations in neural networks
par: Lobet, Corentin, et autres
Publié: (2026)

AG-Fusion: adaptive gated multimodal fusion for 3d object detection in complex scenes
par: Liu, Sixian, et autres
Publié: (2025)

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
par: Zhang, Yixin, et autres
Publié: (2024)

Post-hoc Self-explanation of CNNs
par: Boubekki, Ahcène, et autres
Publié: (2026)

Machine learning approach to brain tumor detection and classification
par: Oh, Alice, et autres
Publié: (2024)

HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images
par: Choi, Sungik, et autres
Publié: (2024)

An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classification
par: Bilson, Samuel, et autres
Publié: (2025)

COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
par: Hogeweg, L. E., et autres
Publié: (2024)

Which images to label for few-shot medical landmark detection?
par: Quan, Quan, et autres
Publié: (2021)

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
par: Stanley, Emma A. M., et autres
Publié: (2023)

BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
par: Chen, Gongping, et autres
Publié: (2023)

Comprehensive language-image pre-training for 3D medical image understanding
par: Wald, Tassilo, et autres
Publié: (2025)

SelfAI: A self-directed framework for long-horizon scientific discovery
par: Wu, Xiao, et autres
Publié: (2025)

Interpretable breast cancer classification using CNNs on mammographic images
par: Balve, Ann-Kristin, et autres
Publié: (2024)

Randomized based restricted kernel machine for hyperspectral image classification
par: Quadir, A., et autres
Publié: (2025)

BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging
par: Sherkatghanad, Zeinab, et autres
Publié: (2024)

This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy
par: Vats, Anuja, et autres
Publié: (2022)

Anatomically-aware conformal prediction for medical image segmentation with random walks
par: Gaillochet, Mélanie, et autres
Publié: (2026)

Texture image retrieval using a classification and contourlet-based features
par: Rouhafzay, Asal, et autres
Publié: (2024)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
par: Ahamed, Shadab, et autres
Publié: (2024)

MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic segmentation
par: Muhovič, Jon, et autres
Publié: (2025)

Soft-CAM: Making black box models self-explainable for medical image analysis
par: Djoumessi, Kerol, et autres
Publié: (2025)

3D Transport-based Morphometry (3D-TBM) for medical image analysis
par: Kan, Hongyu, et autres
Publié: (2026)

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
par: André, Pascaline, et autres
Publié: (2026)

Bridging visual saliency and large language models for explainable deep learning in medical imaging
par: Nguezet, Paul Valery, et autres
Publié: (2026)

DGSSM: Diffusion guided state-space models for multimodal salient object detection
par: Ghosh, Suklav, et autres
Publié: (2026)

Generative data augmentation for biliary tract detection on intraoperative images
par: Iacono, Cristina, et autres
Publié: (2025)

Buffer replay enhances the robustness of multimodal learning under missing-modality
par: Zhu, Hongye, et autres
Publié: (2025)

A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset
par: Woerner, Stefano, et autres
Publié: (2024)

Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
par: Zheng, Guangyao, et autres
Publié: (2023)