Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Semantic segmentation, as a pixel-level recognition task, has been widely used in a variety of pract...
PURPOSE: Recently, two-dimensional-to-three-dimensional (2D-3D) deformable registration has been app...
Deep learning-based applications have great potential to enhance the quality of medical services. Th...
Disease prediction is a well-known classification problem in medical applications. Graph Convolution...
This article develops an adaptive neural-network (NN) boundary control scheme for a flexible manipul...
Most traditional superpixel segmentation methods used binary logic to generate superpixels for natur...
Recommender systems offer several advantages to hospital data management units and patients with spe...
Accurate segmentation of the right ventricle from cardiac magnetic resonance images (MRI) is a criti...
Computational capabilities are rapidly increasing, primarily because of the availability of GPU-base...
Data classification is one of the most commonly used applications of machine learning. The are many ...
This paper proposes a fully automatic method to segment the inner boundary of the bony orbit in two ...
Artificial intelligence (AI) in clinical medicine includes physical robotics and devices and virtual...
Protein domains are independent, functional, and stable structural units of proteins. Accurate prote...
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of p...
With the advance of deep learning technology, convolutional neural network (CNN) has been wildly use...
This paper presents a collaborative obstacle avoidance algorithm of multiple bionic snake robots in ...
PURPOSE: The most direct means of glaucoma screening is to use cup-to-disc ratio via colour fundus p...
In this paper, we propose a method to enhance the performance of segmentation models for medical ima...
Three-dimensional in vitro tumor models provide more physiologically relevant responses to drugs tha...
The loss function is an important component in deep learning-based segmentation methods. Over the pa...
One of the main requirements of tumor extraction is the annotation and segmentation of tumor boundar...