AIMC Topic: Semantics

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

Sensors (Basel, Switzerland) Jan 14, 2023
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...
Semantics Cities Deep Learning Algorithms Virtual Reality
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Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation.

Medical image analysis Jan 13, 2023
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 ...
Image Processing, Computer-Assisted Hand Deep Learning Humans Semantics
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Autonomous Driving Control Based on the Technique of Semantic Segmentation.

Sensors (Basel, Switzerland) Jan 12, 2023
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,...
Learning Semantics Automobile Driving Artificial Intelligence Autonomous Vehicles
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Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management.

International journal of computer assisted radiology and surgery Jan 10, 2023
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...
Semantics Cerebral Angiography Deep Learning Intracranial Aneurysm Aneurysm, Ruptured Humans Risk Assessment Risk Factors
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A Chinese verb semantic feature dataset (CVFD).

Behavior research methods Jan 9, 2023
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...
Humans Artificial Intelligence Psycholinguistics China Language Semantics
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A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal.

Sensors (Basel, Switzerland) Jan 9, 2023
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...
Semantics Neural Networks, Computer Machine Learning Sentiment Analysis Language
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Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images.

Sensors (Basel, Switzerland) Jan 5, 2023
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...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer Machine Learning
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Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer.

Scientific reports Jan 4, 2023
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...
Image Processing, Computer-Assisted Humans Semantics Deep Learning Breast Neoplasms Female
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Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.

IEEE journal of biomedical and health informatics Jan 4, 2023
Accurate tissue segmentation in histopathological images is essential for promoting the development of precision pathology. However, the size of the digital pathological image is great, which needs to be tiled into small patches containing limited se...
Supervised Machine Learning Image Processing, Computer-Assisted Semantics Humans
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A study on pharmaceutical text relationship extraction based on heterogeneous graph neural networks.

Mathematical biosciences and engineering : MBE Dec 28, 2022
Effective information extraction of pharmaceutical texts is of great significance for clinical research. The ancient Chinese medicine text has streamlined sentences and complex semantic relationships, and the textual relationships may exist between h...
Electric Power Supplies Information Storage and Retrieval Pharmacopoeias as Topic Semantics Neural Networks, Computer
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