AI seeks to make machines with human-like intelligence. Machine learning, as a subfield of AI, is often confused with the concept of AI. Machine learning refers to the extraction of features from data through a series of mathematical algorithms, leading to tasks such as prediction and classifica...
Apparent diffusion coefficient (ADC) of magnetic resonance imaging (MRI) is an indispensable imaging technique in clinical neuroimaging that quantitatively assesses the diffusivity of water molecules within tissues using diffusion-weighted imaging (DWI). This study focuses on developing a robust machine lea...
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics Alexandre Carré, Guillaume Klausner, Myriam Edjlali, Marvin Lerousseau, Jade Briend-Diop, Roger Sun, Samy Ammari, Sylvain Reuzé, Emilie Alvarez Andres, Théo Estienne, Stéphane...
Nonetheless, MRI requires large, complex, expensive, non-portable machines cooled to three degrees aboveabsolute zero, and it cannot be used on patients for whom the presence of metallic implants or foreign bodies cannot be scrupulously ruled out. This makes emergency use in patients with...
“What we have found is a long list of unprotected medical systems, especially PACs systems found between the X-Ray machine, CT, MRI scanner, ultrasound machines, image-generating machines, and on the other side, electronic medical records systems and systems to help physicians re...
For example, studies have applied Support Vector Machines (SVM) and Random Forest classifiers to MRI data, demonstrating significant success in tumor identification [4]. Yet, these machine learning approaches often require meticulous feature engineering, which can be labor-intensive and may not ...
The chances of survival can be increased if the tumor and its type is detected correctly at its very early stages. Magnetic resonance imaging (MRI) technique is used for the study of the human brain. In this proposed work, classification techniques based on Kernel Support Vector Machines (SVM...
Such an unique mental skill renders emergence an effective scheme to tell humans and machines apart. A recent state-of-the-art work proposes to synthesize images of 3D objects that are detectable by hu- man but difficult for an automatic algorithm to recognize. However, using 3D objects as ...
8.An article comprising one or more non-transitory machine-readable media storing instructions operable to cause one or more machines to perform operations, the operations comprising:estimating displacements of voxels between a forward gradient MRI image and a reverse gradient MRI image by finding an ...
For medical applications, we show that a cheap cluster of bi-processor PCs connected by an Ethernet network is a good trade-off between the power and the cost of the parallel platform. Portability, scalability and safety requirements led us to choose OpenMP to program multi-processor machines ...