AIMC Topic: Semantics
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The human cost of ethical artificial intelligence.
Brain structure & function
Jun 23, 2023
Foundational models such as ChatGPT critically depend on vast data scales the internet uniquely enables. This implies exposure to material varying widely in logical sense, factual fidelity, moral value, and even legal status. Whereas data scaling is ...
A spatio-temporal network for video semantic segmentation in surgical videos.
International journal of computer assisted radiology and surgery
Jun 22, 2023
PURPOSE: Semantic segmentation in surgical videos has applications in intra-operative guidance, post-operative analytics and surgical education. Models need to provide accurate predictions since temporally inconsistent identification of anatomy can h...
Identify novel elements of knowledge with word embedding.
PloS one
Jun 20, 2023
As novelty is a core value in science, a reliable approach to measuring the novelty of scientific documents is critical. Previous novelty measures however had a few limitations. First, the majority of previous measures are based on recombinant novelt...
Joint Fusion and Detection via Deep Learning in UAV-Borne Multispectral Sensing of Scatterable Landmine.
Sensors (Basel, Switzerland)
Jun 18, 2023
Compared with traditional mine detection methods, UAV-based measures are more suitable for the rapid detection of large areas of scatterable landmines, and a multispectral fusion strategy based on a deep learning model is proposed to facilitate mine ...
Microscopic Hyperspectral Image Classification Based on Fusion Transformer With Parallel CNN.
IEEE journal of biomedical and health informatics
Jun 5, 2023
Microscopic hyperspectral image (MHSI) has received considerable attention in the medical field. The wealthy spectral information provides potentially powerful identification ability when combining with advanced convolutional neural network (CNN). Ho...
Context Label Learning: Improving Background Class Representations in Semantic Segmentation.
IEEE transactions on medical imaging
Jun 1, 2023
Background samples provide key contextual information for segmenting regions of interest (ROIs). However, they always cover a diverse set of structures, causing difficulties for the segmentation model to learn good decision boundaries with high sensi...
Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora's Box Has Been Opened.
Journal of medical Internet research
May 31, 2023
BACKGROUND: Artificial intelligence (AI) has advanced substantially in recent years, transforming many industries and improving the way people live and work. In scientific research, AI can enhance the quality and efficiency of data analysis and publi...
Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction.
Sensors (Basel, Switzerland)
May 27, 2023
Allocentric semantic 3D maps are highly useful for a variety of human-machine interaction related tasks since egocentric viewpoints can be derived by the machine for the human partner. Class labels and map interpretations, however, may differ or coul...
CLDTLog: System Log Anomaly Detection Method Based on Contrastive Learning and Dual Objective Tasks.
Sensors (Basel, Switzerland)
May 24, 2023
System logs are a crucial component of system maintainability, as they record the status of the system and essential events for troubleshooting and maintenance when necessary. Therefore, anomaly detection of system logs is crucial. Recent research ha...
Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images.
Scientific reports
May 24, 2023
In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of characterization and reporting on resected biopsies, including polyps, the numbers of which are increasing as a result of CRC population screening programs o...
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