Medical Image Processing Useful Tool in Cancer Diagnosis
نویسندگان
چکیده
An accurate diagnosis, nowadays, supposes sophisticated procedures to corroborate outstanding medical techniques, in the patient interest. This is due to the fact that different physical phenomena are giving different anatomical or physiological relevant details. Nuclear medicine, nuclear magnetic resonance or noninvasive microwave procedures are giving different aspects that are completing each other, more than superposing. The problem to find a reliable, repeatable, reference, using artificial intelligence procedures, applied in biomedical imaging. Our attempt is to make an aggregated decision based on information obtained by different methods of medical imaging. These gathered data come to form a whole amount of details, meant to precisely establish, in a record time, the diagnosis. A highquality image and a fine, interactive interpretation, in a semi-automatic, human-assisted, procedure, obviously might save lives reinforcing an early cancer diagnosis. While nuclear medicine is an invasive investigation technique, microwave body emission registration is a completely non-invasive technique, meant to be used as often as necessary, in order to detect the evolution of a certain (surveyed) inflammatory process, previously detected by using the scintigraphy results. Key-Words: nuclear medicine, weighted decision, medical image processing, cancer detection, non-invasive procedures.
منابع مشابه
A Novel Fuzzy-C Means Image Segmentation Model for MRI Brain Tumor Diagnosis
Accurate segmentation of brain tumor plays a key role in the diagnosis of brain tumor. Preset and precise diagnosis of Magnetic Resonance Imaging (MRI) brain tumor is enormously significant for medical analysis. During the last years many methods have been proposed. In this research, a novel fuzzy approach has been proposed to classify a given MRI brain image as normal or cancer label and the i...
متن کاملIntelligent Diagnosis of Actinic Keratosis and Squamous Cell Carcinoma of the Skin, Using Linear and Nonlinear Features Based on Image Processing Techniques
Introduction: Most skin cancers are treatable in the early stages; thus, an early and rapid diagnosis can be very important to save patients’ lives. Today, with artificial intelligence, early detection of cancer in the initial stages is possible. Method: In this descriptive-analytical study, a computerized diagnostic system based on image processing techniques was presented, which is much more ...
متن کاملIntelligent Diagnosis of Actinic Keratosis and Squamous Cell Carcinoma of the Skin, Using Linear and Nonlinear Features Based on Image Processing Techniques
Introduction: Most skin cancers are treatable in the early stages; thus, an early and rapid diagnosis can be very important to save patients’ lives. Today, with artificial intelligence, early detection of cancer in the initial stages is possible. Method: In this descriptive-analytical study, a computerized diagnostic system based on image processing techniques was presented, which is much more ...
متن کاملDiagnosis of COVID-19 Disease Using Lung CT-scan Image Processing Techniques
Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinical symptoms, and more accurate diagnostic methods like lung CT-scan imaging. This study aimed to achieve an accurate diagnostic method for intelligent and automatic diagnosis of COVID-19 using lung CT-scan image processing techniques and utilize the results of this method as an accurate diagnostic...
متن کاملDiagnosis of COVID-19 Disease Using Lung CT-scan Image Processing Techniques
Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinical symptoms, and more accurate diagnostic methods like lung CT-scan imaging. This study aimed to achieve an accurate diagnostic method for intelligent and automatic diagnosis of COVID-19 using lung CT-scan image processing techniques and utilize the results of this method as an accurate diagnostic...
متن کامل