Image from article in Radiology: Artificial Intelligence
Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses https://doi.org/10.1148/ryai.250506 #segmentation #ChestRad #Liver
Latest posts tagged with #segmentation on Bluesky
Image from article in Radiology: Artificial Intelligence
Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses https://doi.org/10.1148/ryai.250506 #segmentation #ChestRad #Liver
Image from article in Radiology: Artificial Intelligence
Random convolutions serve as a data augmentation strategy for deep learning-based medical image segmentation models https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #ML #MachineLearning
⚡ 2x+ efficiency, zero compromise: By integrating Soft Mixture-of-Experts, CSMoE delivers superior or comparable performance to state-of-the-art models while requiring significantly fewer FLOPs across scene #classification, #semantic #segmentation, and #image #retrieval.
The ZOO Model is a collection of pre-trained deep learning models in ONNX format for the Qgis Deepness plugin to perform automatic object segmentation in orthophotos and satellite imagery #segmentation
qgis-plugin-deepness.readthedocs.io/en/latest/ma...
Models of gap gene regulation and spatiotemporal dynamics of gap gene expression in WT Tribolium embryos. (C,D) HCR FISH detecting subsets of the four core gap genes (hb, Kr, mlpt, gt) in staged WT embryos (14-38 h AEL). Panel C shows expression of hb, Kr, and mlpt concurrently in the same embryos, while panel D shows mlpt and gt concurrently in the same embryos. All embryos are oriented with anterior to the left and posterior to the right.
Embryonic patterning can arise from temporal gene activation translated into space; Mahla Ahmadi & co show that #Tribolium anterior-posterior patterning follows this logic at the genetic level. doi.org/10.1242/bio....
#TemporalPatterning #Segmentation #GeneExpressionWaves
Personalization starts with organization.
When contacts are clearly categorized,
Why tags & segmentation matter:
✔️ Send the right message to the right audience
✔️ Understand intent at a glance
Better organization → better conversations.
#Segmentation #CRM
Image from article in Radiology: Artificial Intelligence
Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan https://doi.org/10.1148/ryai.250506 #CT #segmentation #ML
Image from article in Radiology: Artificial Intelligence
Turning Routine CT into Reference Values for Quantitative Radiology https://doi.org/10.1148/ryai.251130 #CT #segmentation #MachineLearning
Reach the right person at the right time with smart segmentation.
Try it now
#MarketingTips #Segmentation #Automation
Image from article in Radiology: Artificial Intelligence
Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses https://doi.org/10.1148/ryai.250506 #segmentation #kidney #lungs
New video: review of the AI Segmentation by #TerraLab plugin that allows smooth image segmentation in QGIS based on Meta's Segment Anything Model.
Watch it on:
📺YouTube: youtu.be/oKxh8ldYflM
📺QwastTube: videos.qwast-gis.com/w/d8RMLJzcm1...
#QGIS #GeoAI #segmentation #SAM #OpenSource #GIS
🆓🔓 Thorson, J.C., Babcock, R. T., Fisher, J.M., Ballard, K.J., & Robin, D.A. (2025). Declination and #Segmentation in Children with Childhood #Apraxia of Speech. Languages, 10(12), 296. doi.org/10.3390/lang... #prosody #intonation 🦋 #bskySPEECHIES
@jarciuli.bsky.social 👀 @eddychwong.bsky.social 👀
I have no #words to describe what is or isn't a word. There's no universally accepted test, rather it depends on what aspect of words you're trying to examine, if it's written or spoken, and even the language you're using.
#linguistics #language #definition #grammar #segmentation #lexicography
Image from article in Radiology: Artificial Intelligence
Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #DeepLearning #MachineLearning
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
Amaan Valiuddin, Ruud Van Sloun, Christiaan Viviers et al.
Action editor: Xuming He
https://openreview.net/forum?id=Yzf4anYwao
#segmentation #uncertainty #robust
Image from article in Radiology: Artificial Intelligence
MRI-derived extra-axial cerebrospinal fluid (eaCSF) reference values for children and adolescents: a tool for assessing atypical eaCSF development https://doi.org/10.1148/ryai.250123 #MRI #segmentation #AI
Image from article in Radiology: Artificial Intelligence
Extending brain extraction tools beyond non-enhanced CT https://doi.org/10.1148/ryai.240847 #brain #segmentation #MachineLearning
Image from article in Radiology: Artificial Intelligence
Domain generalization of medical image segmentation models with random convolutions https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #AI #MachineLearning
Image from article in Radiology: Artificial Intelligence
MRI-derived extra-axial cerebrospinal fluid (eaCSF) reference values for children and adolescents: a tool for assessing atypical eaCSF development https://doi.org/10.1148/ryai.250123 #NeuroRad #MRI #segmentation
Image from article in Radiology: Artificial Intelligence
CTA-BET outperforms five benchmark non-commercial tools in brain mask generation on non-enhanced CT and CT angiography https://doi.org/10.1148/ryai.240847 #brain #segmentation #NeuroRad
Image from article in Radiology: Artificial Intelligence
CTA-BET: A Robust Brain Extraction Tool for Non-enhanced CT and CT Angiography https://doi.org/10.1148/ryai.240847 #segmentation #AI #ML
Image from article in Radiology: Artificial Intelligence
Random convolutions serve as a data augmentation strategy for deep learning-based medical image segmentation models https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #DeepLearning #ML
Image from article in Radiology: Artificial Intelligence
Domain generalization of medical image segmentation models with random convolutions https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #AI #MachineLearning
Solid progress today 🚀 Detection + segmentation are now wired together, assigning detected tooth numbers to segmented tooth regions. #LabelStudio #label-studio-ml-backend #ComputerVision #MedicalAI #YOLO #Segmentation
Image from article in Radiology: Artificial Intelligence
Random convolutions serve as a data augmentation strategy for deep learning-based medical image segmentation models https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #AI #MachineLearning
Mastering SAM Prompts: A Large-Scale Empirical Study in Segmentation Refinement for Scientific Im...
Stephen Price, Elke Rundensteiner, Danielle L. Cote
Action editor: Jianbo Jiao
https://openreview.net/forum?id=cWcTQMpqv6
#prompts #segmentation #vision
OUTLOOK: Rewiring gene circuits to dissect oscillatory signaling dynamics
By Marek van Oostrom and Katharina Sonnen
➡️ https://genesdev.cshlp.org/content/40/1-2/1.full
Read the full story:
➡️ https://genesdev.cshlp.org/content/40/1-2/124.full
Ina Sonnen Hubrecht Institute
#optogenetic #segmentation
Image from article in Radiology: Artificial Intelligence
New commentary! Random convolutions for improving segmentation across different medical imaging domains https://doi.org/10.1148/ryai.251014 #segmentation #DeepLearning #MachineLearning
RESOURCE/METHODOLOGY: Synchronization of the segmentation clock using synthetic cell–cell signaling
By Akihiro Isomura, Daisuke Asanuma, and Ryoichiro Kageyama
➡️ https://genesdev.cshlp.org/content/40/1-2/124.full
#optogenetic #signaling #segmentation #notch
Image from article in Radiology: Artificial Intelligence
Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://doi.org/10.1148/ryai.240502 @tum.de #segmentation #DeepLearning #MachineLearning