Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Abstract: In this paper, we present a novel level set method (LSM) for image segmentation. By utilizing the Bayesian rule, we design a nonlinear adaptive velocity and a probability-weighted stopping ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Abstract: This paper proposes an extremely optimized distance regularized level set evolution (EO-DRLSE) method for image segmentation applications within the framework of level set method (LSM), ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Because Krea relinquishes centralized control over the downstream deployment of its open weights, the contract legally binds ...

AMD's new FSR 4.1 INT8 upscaler gives RDNA 3 GPUs a massive image quality upgrade. We examine visual quality, performance, ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...