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Ophthalmology Subcategories: Glaucoma Ophthalmology Refractive Surgery

Showing 925-945 of 4,574 articles

In defence of post-hoc explanations in medical AI

Since the early days of the Explainable AI movement, post-hoc explanations have been praised for t...

Apr 2025 http://arxiv.org/abs/2504.20741v1

WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution

Synthetic image source attribution is an open challenge, with an increasing number of image genera...

Apr 2025 http://arxiv.org/abs/2504.19595v2

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models

Deep neural networks (DNNs) have proven to be successful in various computer vision applications s...

Apr 2025 http://arxiv.org/abs/2504.18510v1

Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques

The aim is to create a method for accurately estimating the duration of post-cancer treatment, par...

Apr 2025 http://arxiv.org/abs/2504.16135v1

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models

Timely and accurate detection of hurricane debris is critical for effective disaster response and ...

Apr 2025 http://arxiv.org/abs/2504.12542v2

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing

Reliable tumor segmentation in thoracic computed tomography (CT) remains challenging due to bounda...

Apr 2025 http://arxiv.org/abs/2504.12215v1

DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization

Natural disasters increasingly threaten communities worldwide, creating an urgent need for rapid, ...

Apr 2025 http://arxiv.org/abs/2504.11637v1

Dual-Modality Computational Ophthalmic Imaging with Deep Learning and Coaxial Optical Design

The growing burden of myopia and retinal diseases necessitates more accessible and efficient eye s...

Apr 2025 http://arxiv.org/abs/2504.18549v1

Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models

Street-view images offer unique advantages for disaster damage estimation as they capture impacts ...

Apr 2025 http://arxiv.org/abs/2504.09066v1

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations

Post-hoc explanation methods provide interpretation by attributing predictions to input features. ...

Apr 2025 http://arxiv.org/abs/2504.08919v1

Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI

This study addresses the challenge of predicting post-stroke rigidity by emphasizing feature inter...

Apr 2025 http://arxiv.org/abs/2504.08150v1

SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis

Despite significant progress in intelligent fault diagnosis (IFD), the lack of interpretability re...

Apr 2025 http://arxiv.org/abs/2504.03773v1

SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning

Masked video modeling, such as VideoMAE, is an effective paradigm for video self-supervised learni...

Apr 2025 http://arxiv.org/abs/2504.00527v1

Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents

We explore how multimodal Large Language Models (mLLMs) can help researchers transcribe historical...

Apr 2025 http://arxiv.org/abs/2504.00414v1

Diagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network

Early and accurate diagnosis of pulmonary hypertension (PH) is essential for optimal patient manag...

Mar 2025 http://arxiv.org/abs/2504.01025v1

Post-Incorporating Code Structural Knowledge into LLMs via In-Context Learning for Code Translation

Code translation migrates codebases across programming languages. Recently, large language models ...

Mar 2025 http://arxiv.org/abs/2503.22776v1

3D Structural Phenotype of the Optic Nerve Head at the Intersection of Glaucoma and Myopia -- A Key to Improving Glaucoma Diagnosis in Myopic Populations

Purpose: To characterize the 3D structural phenotypes of the optic nerve head (ONH) in patients wi...

Mar 2025 http://arxiv.org/abs/2503.19083v1

Improving Quantization with Post-Training Model Expansion

The size of a model has been a strong predictor of its quality, as well as its cost. As such, the ...

Mar 2025 http://arxiv.org/abs/2503.17513v1

Post-composing ontology terms for efficient phenotyping in plant breeding.

Ontologies are widely used in databases to standardize data, improving data quality, integration, an...

Mar 2025 40117331

Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.

In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...

Mar 2025 40128045

Coupling deep and handcrafted features to assess smile genuineness

Assessing smile genuineness from video sequences is a vital topic concerned with recognizing facia...

Mar 2025 http://arxiv.org/abs/2503.16128v1