Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Deep learning-based applications have great potential to enhance the quality of medical services. Th...
Accurate 3-D geometries of arteries and veins are important clinical data for diagnosis of arterial ...
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...
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix c...
Cell segmentation is crucial in the study of morphogenesis in developing embryos, but it had been li...
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...
Body composition measures derived from already available electronic medical records (computed tomogr...
Data classification is one of the most commonly used applications of machine learning. The are many ...
One essential step in radiotherapy treatment planning is the organ at risk of segmentation in Comput...
Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid ...
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...
Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for example, chron...
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 ...