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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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MorphoLearn: A morphology-driven workflow to decipher 3D electron microscopy segmentation in diatoms

Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...

IMSAHLO: Integrating Multi-Scale Attention and Hybrid Loss Optimization Framework for Robust Neuronal Brain Cell Segmentation

Accurate segmentation of neuronal cells in fluorescence microscopy is a fundamental task for quantit...

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

The global impact of COVID-19 has caused a significant rise in the demand for psychological counseli...

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Aug 2025 40424870
HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping

Floods are among the most frequent natural hazards and cause significant social and economic damag...

Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision

Out-of-Distribution (OoD) segmentation is critical for safety-sensitive applications like autonomo...

Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision

Out-of-Distribution (OoD) segmentation is critical for safety-sensitive applications like autonomo...

Edge-Boundary-Texture Loss: A Tri-Class Generalization of Weighted Binary Cross-Entropy for Enhanced Edge Detection

Edge detection (ED) remains a fundamental task in computer vision, yet its performance is often hi...

Fredholm Neural Networks for forward and inverse problems in elliptic PDEs

Building on our previous work introducing Fredholm Neural Networks (Fredholm NNs/ FNNs) for solvin...

CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images

Medical AI diagnosis including histopathology segmentation has derived benefits from the recent de...

A Fuzzy Supervisor Agent Design for Clinical Reasoning Assistance in a Multi-Agent Educational Clinical Scenario Simulation

Assisting medical students with clinical reasoning (CR) during clinical scenario training remains ...

TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation

Background and objective: Medical image segmentation is a core task in various clinical applicatio...

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

Polyp segmentation in colonoscopy images is crucial for early detection and diagnosis of colorecta...

Positive region preserved random sampling: an efficient feature selection method for massive data

Selecting relevant features is an important and necessary step for intelligent machines to maximiz...

Learning Boundary Continuity-Aware Gaussian Encoder for Oriented Object Detection.

Oriented object detection has been crucial for rotation-sensitive tasks and has garnered significant...

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Jul 2025 40310734
Rethinking boundary detection in deep learning-based medical image segmentation.

Medical image segmentation is a pivotal task within the realms of medical image analysis and compute...

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Jul 2025 40344946
Zero-shot 3D anomaly detection via online voter mechanism.

3D anomaly detection aims to solve the problem that image anomaly detection is greatly affected by l...

Jul 2025 40121785
Multi-machine learning methods for rapid and synergistic inversion of groundwater contamination source, hydrogeologic parameter and boundary condition.

The application of machine learning methods to the groundwater pollution inversion problem has becom...

Jul 2025 40344866
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)

The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased sig...

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