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Medical Ethics / Professional Responsibility

Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.

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Rethinking Few-Shot Image Fusion: Granular Ball Priors Enable General-Purpose Deep Fusion

In image fusion tasks, the absence of real fused images as priors presents a fundamental challenge...

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Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction

This study proposes a medical entity extraction method based on Transformer to enhance the informa...

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A Novel Cholesky Kernel based Support Vector Classifier

Support Vector Machine (SVM) is a popular supervised classification model that works by first find...

Precise Legal Sentence Boundary Detection for Retrieval at Scale: NUPunkt and CharBoundary

We present NUPunkt and CharBoundary, two sentence boundary detection libraries optimized for high-...

A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping

Inverse problems for partial differential equations (PDEs) are crucial in numerous applications su...

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Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery

The accurate delineation of agricultural field boundaries from satellite imagery is vital for land...

All-day Depth Completion via Thermal-LiDAR Fusion

Depth completion, which estimates dense depth from sparse LiDAR and RGB images, has demonstrated o...

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BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models

Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...

CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection

Cross-layer feature pyramid networks (CFPNs) have achieved notable progress in multi-scale feature...

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Visually Image Encryption and Compression Using a CNN-Based Auto Encoder

This paper proposes a visual encryption method to ensure the confidentiality of digital images. Th...

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3D Dental Model Segmentation with Geometrical Boundary Preserving

3D intraoral scan mesh is widely used in digital dentistry diagnosis, segmenting 3D intraoral scan...

BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes

Semi-supervised semantic segmentation (SS-SS) aims to mitigate the heavy annotation burden of dens...

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A Deep Learning Framework for Boundary-Aware Semantic Segmentation

As a fundamental task in computer vision, semantic segmentation is widely applied in fields such a...

Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement

Malicious image manipulation poses societal risks, increasing the importance of effective image ma...

BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction

Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a d...

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Data-Driven, ML-assisted Approaches to Problem Well-Posedness

Classically, to solve differential equation problems, it is necessary to specify sufficient initia...

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation

Segment Anything Model (SAM) demonstrates powerful zero-shot capabilities; however, its accuracy a...

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Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks

Due to the limited accuracy of 4D Magnetic Resonance Imaging (MRI) in identifying hemodynamics in ...

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A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection

Recent advancements in detecting tumors using deep learning on breast ultrasound images (BUSI) hav...

DiffEGG: Diffusion-Driven Edge Generation as a Pixel-Annotation-Free Alternative for Instance Annotation

Achieving precise panoptic segmentation relies on pixel-wise instance annotations, but obtaining s...

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