Results 41 to 50 of about 1,086 (97)

Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion

Data driven models for automated diagnosis in radiology suffer from insufficient and imbalanced datasets due to low representation of pathology in a population and the cost of expert annotations.
Glinskis, Simas, Hansen, Colin, Herzog, Richard, Kornreich, Micha, Odry, Benjamin, Park, JinHyeong, Pawar, Jayashri, Raju, Ashwin, Zhang, Li   +8 more
core  

A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track

, 2023
Ultrasound imaging is the most popular medical imaging modality for point-of-care bedside imaging. However, 2D ultrasound imaging provides only limited views of the organ of interest, making diagnosis challenging.
Gopalakrishnan, Pisharody Harikrishnan, Jerald, Antony, Madhavanunni, A. N., Malamal, Gayathri, Panicker, Mahesh Raveendranatha   +4 more
core  

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization

Learned Image Compression (LIC) has achieved dramatic progress regarding objective and subjective metrics. MSE-based models aim to improve objective metrics while generative models are leveraged to improve visual quality measured by subjective metrics ...
Luo, Jixiang, Qin, Hongwei, Wang, Yan
core  

Learned compression for images and point clouds [PDF]

, 2023
Ulhaq, Mateen, Ulhaq, Mateen
core  

Rate-Distortion Optimization With Alternative References For UGC Video Compression

, 2023
User generated content (UGC) refers to videos that are uploaded by users and shared over the Internet. UGC may have low quality due to noise and previous compression.
Adsumilli, Balu, Ortega, Antonio, Pavez, Eduardo, Xiong, Xin   +3 more
core  

Shortcut Learning in Medical Image Segmentation

Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set.
Bashir, Zahra, Christensen, Anders Nymark, Feragen, Aasa, Lin, Manxi, Mikolaj, Kamil, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin, Weng, Nina   +7 more
core  

Subjective Quality Evaluation of Point Clouds Using a Head Mounted Display

, 2023
This paper reports on a subjective quality evaluation of static point clouds encoded with the MPEG codecs V-PCC and G-PCC, the deep learning-based codec RS-DLPCC, and the popular Draco codec.
Pereira, Manuela, Pinheiro, Antonio M. G., Prazeres, Joao, Rodrigues, Rafael   +3 more
core  

Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences

The advances in deep generative models have greatly accelerate the process of video procession such as video enhancement and synthesis. Learning spatio-temporal video models requires to capture the temporal dynamics of a scene, in addition to the visual ...
Chen, Long, Clarkson, Matt, Dowrick, Thomas, Islam, Mobarakol   +3 more
core  

Novel application of video image processing to biochemical and antimicrobial susceptibility testing

Journal of Clinical Microbiology, 1988
Richard F. D'AMATO, H D Isenberg, Geoffrey A. McKINLEY, Ellen J. Baron, Richard Tepper, And Michael, SHULMAN3   +6 more
semanticscholar   +1 more source

IVCA: Inter-Relation-Aware Video Complexity Analyzer

To meet the real-time analysis requirements of video streaming applications, we propose an inter-relation-aware video complexity analyzer (IVCA) as an extension to VCA. The IVCA addresses the limitation of VCA by considering inter-frame relations, namely
Li, Li, Li, Yao, Li, Zhuoyuan, Liao, Junqi, Liu, Dong   +4 more
core