Classification of Eukaryotic Splice-junction Genetic Sequences Using Averaged One-dependence Estimators with Subsumption Resolution

Cancer Recurrence Prediction Using Machine Learning

“…In the case of cancer recurrence prediction, not all the genes in a genetic sequence might be responsible for predicting cancer recurrence. Therefore, we need to have a gene selection method that chooses a subset of relevant prognostic genes, while pruning the rest of the genes in the microarray gene expression data [25,26]. In essence, we are interested in finding the best subset of the set of genes that can sufficiently …”

Tumor detection in medical imaging: a Survey

“…This disease is also the fifth leading cause of cancer-related deaths in females ages [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. This facts increase the importance of the researches on the tumor detection and this will present the opportunity for doctors to help save lives by detecting the disease earlier and perform necessary actions.…”

Glioblastoma Multiforme Identification from Medical Imaging Using Computer Vision

“…This disease is also the fifth leading cause of cancer-related deaths in females ages [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. This facts increase the importance of the researches on the tumor detection and this will present the opportunity for doctors to help save lives by detecting the disease earlier and perform necessary actions.…”

“…Different kind of images can be produced just by a single-click and different image processing techniques can be done to these images to study in detail about it. Machine learning and machine vision technology has also been used to solve numerous problems in medicine [20][21][22][32][33][34][35][36][37][38][39][40][41]. Image-based tumor detection uses one or more algorithms as the primary modeling.…”