Medical Ethics / Professional Responsibility

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

3,643 articles

Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.

Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmenta...

Sep 2019 31526965

A segmentation method combining probability map and boundary based on multiple fully convolutional networks and repetitive training.

Cell nuclei image segmentation technology can help researchers observe each cell's stress response t...

Sep 2019 30808019

Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation.

Automatic segmentation of prostate magnetic resonance (MR) images has great significance for the dia...

Aug 2019 31424279

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.

Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful informatio...

Aug 2019 31425022

A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.

This paper addresses the task of nuclei segmentation in high-resolution histopathology images. We pr...

Jul 2019 31346949

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However...

Jul 2019 31329113

Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach.

To maintain the serviceability of buildings, the owners need to be informed about the current condit...

Jul 2019 31379936

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.

This paper presents a method for automatic breast pectoral muscle segmentation in mediolateral obliq...

Jun 2019 31254729

The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis.

Artificial intelligence (AI)-based techniques have been widely applied in depression research and tr...

Jun 2019 31216619

Locally linear SVMs based on boundary anchor points encoding.

In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBA...

May 2019 31207480

MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.

Dialogue-based simulation is a real-world practice technique for medical and clinical education that...

May 2019 31123826

Smoothing dense spaces for improved relation extraction between drugs and adverse reactions.

BACKGROUND AND OBJECTIVE: This work aims at extracting Adverse Drug Reactions (ADRs), i.e. a harm di...

May 2019 31160010

A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.

BACKGROUND: The Named Entity Recognition (NER) task as a key step in the extraction of health inform...

Apr 2019 30961622

Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalen...

Apr 2019 30962048

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Medical Ethics / Professional Responsibility

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Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.

A segmentation method combining probability map and boundary based on multiple fully convolutional networks and repetitive training.

Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation.

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.

A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach.

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.

The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis.

Locally linear SVMs based on boundary anchor points encoding.

MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.

Smoothing dense spaces for improved relation extraction between drugs and adverse reactions.

A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.

Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Modeling second-order boundary perception: A machine learning approach.

Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection.

Disease vocabulary size as a surrogate marker for physicians' disease knowledge volume.

'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification.

Mixture Model Segmentation System for Parasagittal Meningioma brain Tumor Classification based on Hybrid Feature Vector.

Dense Associative Memory Is Robust to Adversarial Inputs.

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