researchers introduced a deep learning-based method for automatically detecting bacterial swarming from a single blurry microscopic image. The paper is published in the journal Gut Microbes.

The spatial function is a summation of membership function in neighborhood of every pixel under consideration. In image segmentation fuzzy C-means (FCM) clustering method making it effortlessly traps ...

Abstract: In this paper, a genetic-based image segmentation method is proposed which optimizes a fuzzy-set-based evaluation function. A K-Means clustering method is used to generate the initial finely ...

This code is valuable for researchers and developers in the medical image analysis field ... bones at a threshold of 400 HU). python plot_3d(pix_resampled, 400) # Display high-density structures like ...

This project implements a U-Net convolutional neural network to perform semantic segmentation on pet images, distinguishing between pets, backgrounds, and outlines. The model is trained on the ...

In this paper, we innovatively propose a multi-view (coronal and transverse) attention network for semi-supervised 3D cardiac image segmentation. In this way, the proposed method obtained more ...