Artificial Intelligence for 3D Printing and Bioprinting

I Yazgan, US Derici, BB Altunay, OA Hindy… - Artificial Intelligence in …, 2024 - Springer
Abstract Three-dimensional (3D) printing is a cutting-edge manufacturing technique that
covers the production of a 3D structure from the bottom to the top in a layer-by-layer manner …

[PDF][PDF] Clown fish queuing and switching optimization algorithm for brain tumor segmentation.

JC MC, R Subramanian - Biomedical Research, 2016 - academia.edu
A brain tumor is an intracranial solid neoplasm, a tumor (defined as an abnormal growth of
cells) within the brain or the central spinal canal. Some tumors are brain cancers. Brain …

Self-organizing maps as a tool for segmentation of magnetic resonance imaging (mri) of relapsing-remitting multiple sclerosis

PA Mei, C de Carvalho Carneiro… - … Workshop on Self …, 2017 - ieeexplore.ieee.org
Multiple Sclerosis (MS) is the most prevalent demyelinating disease of the Central Nervous
System, being the Relapsing-Remitting (RRMS) its most common subtype. We explored …

An automated MRI segmentation framework for brains with tumors and multiple sclerosis lesions

Y Bhanumurthy, K Anne - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Brain tissue is an intricate anatomical structure and hence thorough detection of numerous
brain ailments much relies on precise segmentation of three major tissues, viz., cerebro …

Structural brain mri segmentation using machine learning technique

A Mahbod - 2016 - diva-portal.org
Segmenting brain MR scans could be highly beneficial for diagnosing, treating and
evaluating the progress of specific diseases. Up to this point, manual segmentation …

A Survey on Segmentation & Clustering techniquesto detect brain tumor for MRI

D Rajeshwari, K Shyamala - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
MRI brain image segmentation is a primary task in medical image processing because it
allows the brain's anatomy to be understood with greater clarity. Medical Imaging is most …

Psychographic clustering of blood donors in Egypt using Kohonen's self‐organizing maps

MM Mostafa - International Journal of Nonprofit and Voluntary …, 2010 - Wiley Online Library
Blood donation has historically been marketed as one of the purest examples of altruistic or
pro‐social behavior. The recruitment of blood donors is, however, a challenge as transfusion …

[PDF][PDF] Automated Brain Tumor Segmentation and Survival Prediction using Multimodal MRI

PB Harishbhai - 2023 - gtusitecirculars.s3.amazonaws.com
In recent decades, immense advancements in deep learning for medical image processing
have been experienced. Brain tumor segmentation one of the vital diagnostic requirement in …

Segmentation, classification, and 3D reconstruction of brain tumors in MRI using deep learning and PSO algorithm

B Kamal - 2021 - openaccess.altinbas.edu.tr
The segmentation of brain tumors, especially gliomas, presented, has been in use for more
than 20 years; important changes did not shake it, the purpose of the segmentation and its …

MR Görüntüleri ve MR Spektroskopi verileri ile yapay öğrenme tabanlı beyin tümörü tespit yöntemi ve uygulaması

E Dandıl - 2015 - search.proquest.com
Beyinde büyüyen ve gelişen kötü huylu tümörler son zamanlarda insan ölümlerinin en önde
gelen nedenlerinden birisi olmaya başlamıştır. Beyin tümörleri için en uygun tedavi …