Detection of corona virus disease using a novel machine learning approach
AO Salau - 2021 international conference on decision aid …, 2021 - ieeexplore.ieee.org
In recent times, Coronavirus Disease 2019 (COVID-19) has become a growing concern
which has taken the world by surprise. Early detection of this virus can be used to save …
which has taken the world by surprise. Early detection of this virus can be used to save …
[HTML][HTML] Adaptive diagnostic machine learning technique for classification of cell decisions for AKT protein
Artificial intelligence techniques can unravel clinically consistent information in clinical data
which in turn assist in decision-making. With the help of state-of-the-art techniques …
which in turn assist in decision-making. With the help of state-of-the-art techniques …
Radiomic based machine learning performance for a three class problem in neuro-oncology: time to test the waters?
Simple Summary Prior radiomic studies have addressed a two-class tumor classification
problem (glioblastoma (GBM) versus primary CNS lymphoma (PCNSL) or GBM versus …
problem (glioblastoma (GBM) versus primary CNS lymphoma (PCNSL) or GBM versus …
Various approaches to the quantitative evaluation of biological and medical data using mathematical models
M Ždímalová, A Chatterjee, H Kosnáčová, M Ghosh… - Symmetry, 2021 - mdpi.com
Biomedical data (structured and unstructured) has grown dramatically in strength and
volume over the last few years. Innovative, intelligent, and autonomous scientific …
volume over the last few years. Innovative, intelligent, and autonomous scientific …
Radiomics-based differentiation between glioblastoma, CNS lymphoma, and brain metastases: comparing performance across MRI sequences and machine learning …
Prior radiomics studies have focused on two-class brain tumor classification, which limits
generalizability. The performance of radiomics in differentiating the three most common …
generalizability. The performance of radiomics in differentiating the three most common …
Studying Cracks in Infrastructures Using Amalgamation of AlexNet and Moth Flame Optimizer
EM Abdelkader, A Al-Sakkaf… - … Conference on Decision …, 2021 - ieeexplore.ieee.org
Crack detection is a vital task to maintain functionality, safety and operation of civil
engineering infrastructures. As such, this research paper introduces a computer vision …
engineering infrastructures. As such, this research paper introduces a computer vision …