AI Medical Compendium Topic

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Semantics

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SPNet: Structure preserving network for depth completion.

PloS one
Depth completion aims to predict a dense depth map from a sparse one. Benefiting from the powerful ability of convolutional neural networks, recent depth completion methods have achieved remarkable performance. However, it is still a challenging prob...

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation.

Sensors (Basel, Switzerland)
Auxiliary clinical diagnosis has been researched to solve unevenly and insufficiently distributed clinical resources. However, auxiliary diagnosis is still dominated by human physicians, and how to make intelligent systems more involved in the diagno...

Point Cloud Deep Learning Network Based on Balanced Sampling and Hybrid Pooling.

Sensors (Basel, Switzerland)
The automatic semantic segmentation of point cloud data is important for applications in the fields of machine vision, virtual reality, and smart cities. The processing capability of the point cloud segmentation method with PointNet++ as the baseline...

Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation.

Medical image analysis
We present our novel deep multi-task learning method for medical image segmentation. Existing multi-task methods demand ground truth annotations for both the primary and auxiliary tasks. Contrary to it, we propose to generate the pseudo-labels of an ...

Autonomous Driving Control Based on the Technique of Semantic Segmentation.

Sensors (Basel, Switzerland)
Advanced Driver Assistance Systems (ADAS) are only applied to relatively simple scenarios, such as highways. If there is an emergency while driving, the driver should take control of the car to deal properly with the situation at any time. Obviously,...

Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management.

International journal of computer assisted radiology and surgery
PURPOSE: Intracranial aneurysms are vascular deformations in the brain which are complicated to treat. In clinical routines, the risk assessment of intracranial aneurysm rupture is simplified and might be unreliable, especially for patients with mult...

A Chinese verb semantic feature dataset (CVFD).

Behavior research methods
Language is an advanced cognitive function of humans, and verbs play a crucial role in language. To understand how the human brain represents verbs, it is critical to analyze what knowledge humans have about verbs. Thus, several verb feature datasets...

A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal.

Sensors (Basel, Switzerland)
Sentiment analysis aims to mine polarity features in the text, which can empower intelligent terminals to recognize opinions and further enhance interaction capabilities with customers. Considerable progress has been made using recurrent neural netwo...

Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images.

Sensors (Basel, Switzerland)
Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We pres...

Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer.

Scientific reports
The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evaluated by pathologists. In this paper, a computer-aided patch-based deep learning tubule segmentation framework, named Tubule-U-Net, is developed and pro...