| Design Of A Hybrid Deep Learning System For Discriminating Between Low- And High-Grade Colorectal Cancer Lesions, Using Microscopy Images Of Ihc Stained For Aib1 Expression Biopsy Material | 0 | 0.34 | 2021 |
| Image quilting and wavelet fusion for creation of synthetic microscopy nuclei images. | 0 | 0.34 | 2018 |
| Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit. | 4 | 0.46 | 2012 |
| Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images | 8 | 0.54 | 2008 |
| Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme. | 6 | 0.70 | 2008 |
| Brain tumor characterization using the soft computing technique of fuzzy cognitive maps | 65 | 3.08 | 2008 |
| Assessing estrogen receptors' status by texture analysis of breast tissue specimens and pattern recognition methods | 5 | 0.73 | 2007 |
| Advanced soft computing diagnosis method for tumour grading | 35 | 2.08 | 2006 |
| Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification | 0 | 0.34 | 2006 |
| Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence | 2 | 0.39 | 2006 |
| Automated Diagnosis Of Brain Tumours Astrocytomas Using Probabilistic Neural Network Clustering And Support Vector Machines | 14 | 1.41 | 2005 |
| Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification | 0 | 0.34 | 2004 |
| The Challenge of Soft Computing Techniques for Tumor Characterization | 2 | 0.43 | 2004 |
| Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks | 11 | 1.07 | 2003 |
