Learning the Topological Properties of Brain Tumors
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Journal of Signal Processing Systems
ECM-aware cell-graph mining for bone tissue modeling and classification
Data Mining and Knowledge Discovery
Automatic segmentation and inpainting of specular highlights for endoscopic imaging
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Journal of Medical Systems
Computers in Biology and Medicine
Cell-graph coloring for cancerous tissue modelling and classification
Multimedia Tools and Applications
Ensemble classification of colon biopsy images based on information rich hybrid features
Computers in Biology and Medicine
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The aim of this study was to investigate the value of fractal dimension in separating normal and cancerous images, and to examine the relationship between fractal dimension and traditional texture analysis features. Forty-four normal images and 58 cancer images from sections of the colon were analyzed. A "leave-one-out" analysis approach was used to classify the samples into each group. With fractal analysis there was a highly significant difference between groups (p