Tried the same with a more realistic 3D stack from the #ImageJ sample library.#Cellpose runs fast and segments very well out of the box.#CellSeg3D takes considerably longer and seems to segment decently, but I couldn’t get a proper instance #segmentation in the post-processing step (which is recommended as part of its workflow). However, #CellSeg3D looks very promising — just needs some more time and parameter exploration, I guess.
I’d recommend giving it a try 
New in #eLife: #CellSeg3D introduces #WNet3D, a self-supervised 3D #segmentation method for #microscopy data — no labels needed. Claims to outperform #Cellpose/#StarDist on 4 datasets. Includes #opensource plugin (#Napari) + full 3D annotated #cortex dataset. Will test it later.
https://www.europesays.com/us/49379/ Schizophrenia Market Research and Forecast Report 2025-2034 #ForecastPeriod #Health #MarketValue #MentalHealth #Schizophrenia #segmentation #UnitedStates #UnitedStates #US
https://www.europesays.com/uk/248560/ Schizophrenia Market Research and Forecast Report 2025-2034 #ForecastPeriod #Health #MarketValue #MentalHealth #schizophrenia #segmentation #UK #UnitedKingdom
Semantic segmentation of historical maps using self-constructing graph convolutional networks to interpret and extract information #segmentation
https://www.tandfonline.com/doi/full/10.1080/15230406.2025.2468304
Pipeline release! nf-core/molkart v1.1.0 - 1.1.0 - Resolution Road!
Please see the changelog: https://github.com/nf-core/molkart/releases/tag/1.1.0
How to segment X-Ray lungs using U-Net and Tensorflow
You can find link for the code in the blog : https://eranfeit.net/how-to-segment-x-ray-lungs-using-u-net-and-tensorflow/
Check out our tutorial here : https://youtu.be/-AejMcdeOOM&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran
Segment Anything Model Can Not Segment Anything - Assessing AI Foundation Model’s Generalizability In Permafrost Mapping
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https://doi.org/10.3390/rs16050797 <-- shared paper
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#GIS #spatial #mapping #remotesensing #foundationmodel #AI #artificialintelligence #zeroshot #segmentation #GeoAI #spatialanalysis #LargeLanguageModel #LLM #SAM #performance #metrics #permafrost #visionmodel #icewedge #Arctic #warming #climatechange #thawslumps #landform #terrainmapping #EuroCrops #agriculture
ai-by-hand-excel
https://github.com/ImagineAILab/ai-by-hand-excel/tree/main
Basic
Softmax
LeakyReLU
Advanced
Multi Layer Perceptron (MLP)
Backpropagation
Recurrent Neural Network (RNN)
Long Short Term Memory (LSTM)
Residual Network (ResNet)
Transformer - Simple
Transformer - Full Stack
Langsmith
LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not.
Debug, collaborate, test, and monitor your LLM applications.
**eli5**
A library for debugging/inspecting machine learning classifiers and explaining their predictions
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory 
In this article, Muhammad Ardi shows you how to implement U-Net from scratch using PyTorch. Read his full walkthrough now!
#PyTorch #Segmentation #MachineLearning
https://towardsdatascience.com/paper-walkthrough-u-net-98877a2cd33c
Transform your data into actionable insights with customer segmentation for improved engagement and profitability. Read now by Shirley Bao, Ph.D.!
This tutorial provides a step-by-step guide on how to implement and train a Res-UNet model for skin Melanoma detection and segmentation using TensorFlow and Keras.
You can find more tutorials, and join my newsletter here : https://eranfeit.net/
Check out our tutorial here : https://youtu.be/5inxPSZz7no&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran
In the lead up to #ALTA2024, we're highlighting #research papers from previous #workshops.
Here, the ChatGPT C-LARA-Instance, Belinda Chiera, Cathy Chua, Chadi Raheb, Manny Rayner, Annika Simonsen, Zhengkang Xiang, and Rina Zviel-Girshin use the #OpenSource #CLARA platform to evaluate #GPT4's ability to perform #linguistics #NLP tasks such as #segmentation, #lemmatization and #glossing.
C-LARA platform: https://www.c-lara.org/
DetectTree is a Python library that uses semantic segmentation to classify whether pixels in aerial images contain a tree. The library includes a pre-trained model via martibosch at X #segmentation
Not on novels, but on Holocaust survivor testimonials:
Eitan Wagner, Renana Keydar, Amir Pinchevski & Omri Abend (2023). "Automatic Topic-Guided Segmentation of Holocaust Survivor Testimonies", Journal of Computational Literary Studies 2 (1), 1–26. doi: https://doi.org/10.48694/jcls.3580.
Keywords: #segmentation, #spoken narratives, #testimonies, #narrative analysis, #topic analysis, mutual information, #NLP #CLS #JCLS
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
#python #yolo #ai #computervision #segmentation #annotation #deeplearning #pytorch #coco #object-detection
Greg Cocks 
