This repository contains a Python script to detect anomalies in MRI DICOM scans using Convolutional Neural Networks (CNNs). The workflow includes data preprocessing, model training, and evaluation.
We torture-test a dozen of the most popular text-to-image AI tools with a series of prompts designed to highlight their strengths and weaknesses. Here's how they stack up. I've been writing about ...
Fluorescence imaging is the visualization of fluorescent dyes or proteins as labels for molecular processes or structures. It enables a wide range of experimental observations including the ...
label-free imaging of cell metabolism at the nanoscale. The work presents a molecule detection method for single-molecule localization microscopy. By means of probabilistic thresholding with ...