Abstract: Brain tumor segmentation plays a critical role in accurate diagnosis and treatment planning but remains challenging due to complex tumor boundaries and variations across MRI sequences.
Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...
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Why does genetic engineering have such a bad image?
Many people are skeptical of genetic engineering, and especially of genetically modified organisms (GMOs) in food, even though innovations like drought-resistant wheat and insect-resistant corn ...
This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
Abstract: Digital image segmentation belongs to the vast area of image processing. Segmentation of image with the help of Genetic Algorithm is useful in many functions and has much better performance ...
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