Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 211 to 220 of 156,985 articles
Sequential Attention-based Sampling for Histopathological Analysis
arXiv
Jul 7, 2025
Deep neural networks are increasingly applied for automated histopathology.
Yet, whole-slide images (WSIs) are often acquired at gigapixel sizes, rendering
it computationally infeasible to analyze them entirely at high resolution.
Diagnostic labels...
Learning With Self-Calibrator for Fast and Robust Low-Light Image Enhancement.
IEEE transactions on pattern analysis and machine intelligence
Jul 7, 2025
Convolutional Neural Networks (CNNs) have shown significant success in the low-light image enhancement task. However, most of existing works encounter challenges in balancing quality and efficiency simultaneously. This limitation hinders practical ap...
Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning
arXiv
Jul 7, 2025
Temporal Video Grounding (TVG), which requires pinpointing relevant temporal
segments from video based on language query, has always been a highly
challenging task in the field of video understanding. Videos often have a
larger volume of informatio...
Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.
Mammalian genome : official journal of the International Mammalian Genome Society
Jul 7, 2025
Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute rejection (AR) remains a major factor affecting graft survival and patient prognosis. Currently, renal biopsy is the gold standard for diagnosing AR, but it...
Machine learning ensemble technique for exploring soil type evolution.
Scientific reports
Jul 7, 2025
Machine learning has shown great potential in predicting soil properties, but individual models are often prone to overfitting, limiting their generalization. Ensemble models address this challenge by combining the strengths of multiple algorithms. T...
Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage
arXiv
Jul 7, 2025
Multi-object tracking (MOT) aims to maintain consistent identities of objects
across video frames. Associating objects in low-frame-rate videos captured by
moving unmanned aerial vehicles (UAVs) in actual combat scenarios is complex
due to rapid ch...
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving
arXiv
Jul 7, 2025
Reinforcement Learning (RL) offers a promising framework for autonomous
driving by enabling agents to learn control policies through interaction with
environments. However, large and high-dimensional action spaces often used to
support fine-grained...
CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images
arXiv
Jul 7, 2025
Medical AI diagnosis including histopathology segmentation has derived
benefits from the recent development of deep learning technology. However, deep
learning itself requires a large amount of training data and the medical image
segmentation maski...
Differential Attention for Multimodal Crisis Event Analysis
arXiv
Jul 7, 2025
Social networks can be a valuable source of information during crisis events.
In particular, users can post a stream of multimodal data that can be critical
for real-time humanitarian response. However, effectively extracting meaningful
information...
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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