[PDF][PDF] Automated brain tumor detection and identification using image processing and probabilistic neural network techniques
DA Dahab, SSA Ghoniemy, GM Selim - International journal of …, 2012 - academia.edu
In this paper, modified image segmentation techniques were applied on MRI scan images in
order to detect brain tumors. Also in this paper, a modified Probabilistic Neural Network …
order to detect brain tumors. Also in this paper, a modified Probabilistic Neural Network …
[HTML][HTML] Machine learning can be as good as maximum likelihood when reconstructing phylogenetic trees and determining the best evolutionary model on four taxon …
Phylogenetic tree reconstruction with molecular data is important in many fields of life
science research. The gold standard in this discipline is the phylogenetic tree reconstruction …
science research. The gold standard in this discipline is the phylogenetic tree reconstruction …
The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics
Vocalizations in animals, particularly birds, are critically important behaviors that influence
their reproductive fitness. While recordings of bioacoustic data have been captured and …
their reproductive fitness. While recordings of bioacoustic data have been captured and …
[HTML][HTML] Evaluating Feature Impact Prior to Phylogenetic Analysis Using Machine Learning Techniques
The purpose of this paper is to describe a feature selection algorithm and its application to
enhance the accuracy of the reconstruction of phylogenetic trees by improving the efficiency …
enhance the accuracy of the reconstruction of phylogenetic trees by improving the efficiency …
DNA encoding with entropy based numerical mapping technique for phylogenetic analysis
In order to comprehend the relationship between species and their evolution process,
phylogeny analysis is generally applied. DNA sequences are an essential part of that …
phylogeny analysis is generally applied. DNA sequences are an essential part of that …