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Full-Text Articles in Artificial Intelligence and Robotics
Region Detection & Segmentation Of Nissl-Stained Rat Brain Tissue, Alexandro Arnal
Region Detection & Segmentation Of Nissl-Stained Rat Brain Tissue, Alexandro Arnal
Open Access Theses & Dissertations
People who analyze images of biological tissue rely on the segmentation of structures as a preliminary step. In particular, laboratories studying the rat brain delineate brain regions to position scientific findings on a brain atlas to propose hypotheses about the rat brain and, ultimately, the human brain. Our work intersects with the preliminary step of delineating regions in images of brain tissue via computational methods.
We investigate pixel-wise classification or segmentation of brain regions using ten histological images of brain tissue sections stained for Nissl substance. We present a deep learning approach that uses the fully convolutional neural network, U-Net, …
Comparing Predictive Performance Of Statistical Learning Models On Medical Data, Francis Biney
Comparing Predictive Performance Of Statistical Learning Models On Medical Data, Francis Biney
Open Access Theses & Dissertations
This work investigates the predictive performance of 10 Machine learning models on three medical data including Breast cancer, Heart disease and Prostate cancer. Furthermore, we use the models to identify risk factors that contribute significantly to these diseases.
The models considered include; Logistic regression with L1 and L_2 penalties, Principal component logistic regression(PCR-LR), Partial least squares logistic regression(PLS-LR), Multivariate adaptive regression splines(MARS), Support vector machine with Radial Basis Kernel (SVM-RBK), Random Forest(RF), Gradient Boosting Machines(GBM), Elastic Net (Enet) and Feedforward Neural Network(FFNN). The models were grouped according to their similarities and learning style; i) Linear regularized models: LR-Lasso, LR-Ridge and …