Nechirvan Asaad Zebari's research while affiliated with Duhok Polytechnic University and other places

Publications (3)

Article
The segmentation of skin lesions is crucial to the early and accurate identification of skin cancer by computerized systems. It is difficult to automatically divide skin lesions in dermoscopic images because of challenges such as hairs, gel bubbles, ruler marks, fuzzy boundaries, and low contrast. We proposed an effective method based on K-means an...
Article
Full-text available
Breast cancer detection using mammogram images at an early stage is an important step in disease diagnostics. We propose a new method for the classification of benign or malignant breast cancer from mammogram images. Hybrid thresholding and the machine learning method are used to derive the region of interest (ROI). The derived ROI is then separate...
Article
Full-text available
Information security and confidentiality are the prime concern of any type of communication. The techniques that utilizing inconspicuous digital media such as text, audio, video and image for hiding confidential data in it are collectively called Steganography. The key challenge of steganographic system design is to maintain a fair trade-off betwee...

Citations

... Deep ANNs are ANNs having multiple layers between the input and output layer (also known as hidden layers), and training such networks is referred to as deep learning. Typically, supervised learning is used for training, which involves manually annotating the data before to training and using backpropagation to change the weights for each input [16]. ...
... Histogram reveals each pixel's precise occurrence in the picture. The remarkable resemblance between the histograms of the host and the stego shows the minimum distortion after the secret picture has been integrated into the host image [13]. ...