102 citations · 216 across the 7 of their papers we have counts for
7 papers
Deepfake Image Generation for Improved Brain Tumor Segmentation
Roa'a Al-Emaryeen, Sara Al-Nahhas, Fatima Himour +2
As the world progresses in technology and health, awareness of disease by revealing asymptomatic signs improves. It is important to detect and treat tumors in early stage as it can…
Supervised Texture Segmentation: A Comparative Study
Omar S. Al-Kadi
This paper aims to compare between four different types of feature extraction approaches in terms of texture segmentation. The feature extraction methods that were used for segment…
A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours
Omar S. Al-Kadi
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet anal…
Susceptibility of texture measures to noise: an application to lung tumor CT images
O. S. Al-Kadi, D. Watson
Five different texture methods are used to investigate their susceptibility to subtle noise occurring in lung tumor Computed Tomography (CT) images caused by acquisition and recons…
Combined statistical and model based texture features for improved image classification
Omar Al-Kadi
This paper aims to improve the accuracy of texture classification based on extracting texture features using five different texture methods and classifying the patterns using a nai…
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours
Omar S. Al-Kadi
Tissue texture is known to exhibit a heterogeneous or non-stationary nature, therefore using a single resolution approach for optimum classification might not suffice. A clinical d…
Texture measures combination for improved meningioma classification of histopathological images
Omar S. Al-Kadi
Providing an improved technique which can assist pathologists in correctly classifying meningioma tumours with a significant accuracy is our main objective. The proposed technique,…