In the published article, in the Section 3. Materials and methods, 3.1 Dataset of brain MRI images, 10 references and citations were erroneously omitted from the subheadings “CNS Lymphoma,” ...
Although there has been significant pushback from artists regarding the proliferation of AI design tools and the content used to train generative models, the companies making the software for creative ...
The amount of aerial and satellite imagery captured worldwide continues to grow. Yet, efficiently identifying and labeling features in these images—like roofs, cars, or trees—remain challenging. To ...
Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an efficient and secure medium for applications such as internet communication ...
Morphological profiling has recently demonstrated remarkable potential for identifying the biological activities of small molecules. Alongside the fully supervised and self-supervised machine learning ...
Abstract: In our study, we present a novel method for automating the segmentation and classification of bone marrow images to distinguish between normal and Acute Lymphoblastic Leukaemia (ALL). Built ...
This repository contains the source code in MATLAB for this project. One of them is a function code which can be imported from MATHWORKS. I am including it in this file for better ...
Abstract: Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them ...
Current version: 3.2 - Convergence criteria are updated (fix some bugs) and homogenize for all functions + test script for 1D case Previous version: 3.0 - New toolbox organization in different ...
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