The purpose of this study was to investigate the correlation between image features
extracted from PET images and the accuracy of manually drawn lesion contours in the lung …

We have proposed a computer-assisted framework for machine-learning–based delineation
of gross tumor volumes (GTVs) following an optimum contour selection (OCS) method. The …

The purpose of this work is to segment the multi region Fluoro Deoxy Glucose radioactivity
uptakes from fused Positron Emission Tomography/Computerized Tomography images …

In this study, we proposed a deep-learning-based semantic segmentation of breast tumors
in diagnostic breast MRI, which had been planned with chemotherapy treatment, for …

The gross tumor volume (GTV) regions are the fundamental regions used to determine the
clinical target volumes (CTVs) and planning target volume (PTV). The accuracy of the GTVs …

Precision medicine, as a concept of customization of healthcare for individual patients with
diagnosis, treatments, and follow-up, has been a hot topic in recent years. Large-scale …

In this research, calculation process of the lung cancer volume of target based on computed
tomography (CT) thorax images was done. Volume of the target calculation was done in …

Lung cancer is the leading cause of cancer death in males and second leading cause in
females. Radiotherapy (RT) plays an important role in the treatment of lung cancer in every …

The biological effect of radiation was recognized as a beneficial potential for treatment of
malignant tumor after WC Röntgen had discovered x-ray in 1895, which may be considered …

Good relationships between computational image analysis and radiological physics have
been constructed for increasing the accuracy of medical diagnostic imaging and radiation …