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Found 8 papers, 0 papers with code
Automatic Polyp Segmentation Using Convolutional Neural Networks
The risk of developing colorectal cancer could be reduced by early diagnosis of polyps during a colonoscopy.
Causality based Feature Fusion for Brain Neuro-Developmental Analysis
Second, we used causality values as the weight for the directional connectivity between brain regions.
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
Breast cancer is one of the leading causes of death across the world in women.
Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Breast cancer is one of the most common causes of cancer-related death in women worldwide.
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification
Automatic detection of leukemic B-lymphoblast cancer in microscopic images is very challenging due to the complicated nature of histopathological structures.
k-Relevance Vectors: Considering Relevancy Beside Nearness
We show that the new parameter improves the classification accuracy of k-RV.
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
The study of healthy brain development helps to better understand the brain transformation and brain connectivity patterns which happen during childhood to adulthood.
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches
To achieve this purpose, this study presents an integrated approach based on Data Envelopment Analysis (DEA), Clustering algorithms and Polynomial Pattern Classifier for constructing a classifier to identify a class of bank branches.
