Cover Image

Enhancing zero-shot learning in medical imaging: integrating clip with advanced techniques for improved chest x-ray analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhardwaj, Prakhar, Bhat, Sheethal, Maier, Andreas
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays
by: Madhipati, Rajesh, et al.
Published: (2025)

Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset
by: Bayer, Lukas, et al.
Published: (2026)

Addressing Data Scarcity in 3D Trauma Detection through Self-Supervised and Semi-Supervised Learning with Vertex Relative Position Encoding
by: Chaudhary, Shivam, et al.
Published: (2026)

Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
by: Badawi, Maged, et al.
Published: (2024)

ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification
by: Kittler, Florian, et al.
Published: (2026)

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation
by: Zaian, Abdelrahman, et al.
Published: (2026)

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
by: Gallone, Guglielmo, et al.
Published: (2024)

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification
by: Panambur, Adarsh Bhandary, et al.
Published: (2024)

MetaChest: Generalized few-shot learning of pathologies from chest X-rays
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)

Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images
by: Akbar, Muhammad Usman, et al.
Published: (2023)

LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation
by: Bhuiyan, Mohammad Robaitul Islam, et al.
Published: (2026)

Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
by: Marsico, Veronica, et al.
Published: (2025)

Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
by: Seibold, Constantin, et al.
Published: (2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
by: Lin, Mingquan, et al.
Published: (2025)

EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance
by: Duan, Zicheng, et al.
Published: (2024)

Exploring connections of spectral analysis and transfer learning in medical imaging
by: Lu, Yucheng, et al.
Published: (2024)

Retrieval-enriched zero-shot image classification in low-resource domains
by: Dall'Asen, Nicola, et al.
Published: (2024)

Few-shot crack image classification using clip based on bayesian optimization
by: Zhang, Yingchao, et al.
Published: (2025)

AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs
by: Whitney, Heather M., et al.
Published: (2025)

A comprehensive survey on deep active learning in medical image analysis
by: Wang, Haoran, et al.
Published: (2023)

A novel spatial-frequency domain network for zero-shot incremental learning
by: Ren, Jie, et al.
Published: (2024)

Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?
by: Di Via, Roberto, et al.
Published: (2024)

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection
by: Yang, Yuguang, et al.
Published: (2025)

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
by: Bhat, Sheethal, et al.
Published: (2025)

Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
by: Winter, Dominik, et al.
Published: (2024)

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
by: Jang, Jongseong, et al.
Published: (2022)

RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze
by: Kim, Yunsoo, et al.
Published: (2025)

Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
by: Cani, Jorgen, et al.
Published: (2025)

A review of deep learning-based information fusion techniques for multimodal medical image classification
by: Li, Yihao, et al.
Published: (2024)

Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images
by: Di Via, Roberto, et al.
Published: (2024)

A foundation model for generalizable disease diagnosis in chest X-ray images
by: Xu, Lijian, et al.
Published: (2024)

A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images
by: Liu, Daiqi, et al.
Published: (2025)

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images
by: Wan, Jia, et al.
Published: (2024)

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
by: Gaggion, Nicolás, et al.
Published: (2023)

Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval
by: Su, Hanwen, et al.
Published: (2024)

On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
by: Zanella, Maxime, et al.
Published: (2024)

Impact of domain adaptation in deep learning for medical image classifications
by: Wu, Yihang, et al.
Published: (2026)

Prompt learning with bounding box constraints for medical image segmentation
by: Gaillochet, Mélanie, et al.
Published: (2025)

Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors
by: Paul, Soumava, et al.
Published: (2024)