R.R. Gharieb
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View article: X-Rays and Computed Tomography Scan Imaging: Instrumentation and Medical Applications
X-Rays and Computed Tomography Scan Imaging: Instrumentation and Medical Applications Open
This chapter gives a review for both conventional X-ray and computed tomography (CT) scan imaging modalities and their medical applications. The chapter presents a brief history on the discovery of X-ray, X-ray imaging, and computed tomogr…
View article: Brain Tumor Automatic Detection from MRI Images Using Transfer Learning Model with Deep Convolutional Neural Network
Brain Tumor Automatic Detection from MRI Images Using Transfer Learning Model with Deep Convolutional Neural Network Open
Brain tumor detection successfully in early-stage plays important role in improving patient treatment and survival. Evaluating magnetic resonance imaging (MRI) images manually is a very difficult task due to the numerous numbers of images …
View article: Photoacoustic Imaging for Cancer Diagnosis: A Breast Tumor Example
Photoacoustic Imaging for Cancer Diagnosis: A Breast Tumor Example Open
Photoacoustic (PA) imaging utilizes laser pulses to deliver energy to an examined object for the generation of ultrasonic waves. Thus, it provides a noninvasive and nonionizing imaging modality. Therefore, it has found clinical use for can…
View article: Development of Automated Brain Tumor Extraction from MRI Images
Development of Automated Brain Tumor Extraction from MRI Images Open
The brain is one of the largest and most complex organs in the human body. Some abnormal and uncontrolled growth of tissue taking place in human brain called “brain tumor”. The objective of biomedical image processing is that the image wil…
View article: Incorporating Local Data and KL Membership Divergence into Hard C-Means Clustering for Fuzzy and Noise-Robust Data Segmentation
Incorporating Local Data and KL Membership Divergence into Hard C-Means Clustering for Fuzzy and Noise-Robust Data Segmentation Open
Hard C-means (HCM) and fuzzy C-means (FCM) algorithms are among the most popular ones for data clustering including image data. The HCM algorithm offers each data entity with a cluster membership of 0 or 1. This implies that the entity wil…
View article: Huffman Image Compression Incorporating DPCM and DWT
Huffman Image Compression Incorporating DPCM and DWT Open
This paper presents a medical image compression approach. In this approach, first the image is preprocessed by Differential Pulse Code Modulator (DPCM), second, the output of the DPCM is wavelet transformed, and finally the Huffman encodin…