Andere Kunden interessierten sich auch für
![Erkennung von Lebertumoren aus CT-Scan-Bildern mit DIP]( "Erkennung von Lebertumoren aus CT-Scan-Bildern mit DIP")
Erkennung von Lebertumoren aus CT-Scan-Bildern mit DIP60,90 €![Rilevamento del tumore al fegato da immagini di scansione TC con DIP]( "Rilevamento del tumore al fegato da immagini di scansione TC con DIP")
Rilevamento del tumore al fegato da immagini di scansione TC con DIP39,99 €![Détection de tumeurs du foie à partir d'images de tomodensitométrie à l'aide de DIP]( "Détection de tumeurs du foie à partir d'images de tomodensitométrie à l'aide de DIP")
Détection de tumeurs du foie à partir d'images de tomodensitométrie à l'aide de DIP39,99 €![Deteção de tumores hepáticos a partir de imagens de tomografia computadorizada usando DIP]( "Deteção de tumores hepáticos a partir de imagens de tomografia computadorizada usando DIP")
Deteção de tumores hepáticos a partir de imagens de tomografia computadorizada usando DIP39,99 €![Obnaruzhenie opuholi pecheni po izobrazheniqm komp'üternoj tomografii s pomosch'ü DIP]( "Obnaruzhenie opuholi pecheni po izobrazheniqm komp'üternoj tomografii s pomosch'ü DIP")
Obnaruzhenie opuholi pecheni po izobrazheniqm komp'üternoj tomografii s pomosch'ü DIP39,99 €![Tumours Detection in Breast MRI Images Using Improved Methods]( "Tumours Detection in Breast MRI Images Using Improved Methods")
Tumours Detection in Breast MRI Images Using Improved Methods42,99 €![GSA based classification of lung nodules in CT images]( "GSA based classification of lung nodules in CT images")
GSA based classification of lung nodules in CT images30,99 €
Liver imaging using abdominal CT images has been widely studied in the recent years and it is still a challenging task. Processing CT image includes the automatic diagnosis of liver and lesions part. Because of the high intensity similarity between liver tissues and nearby organs of liver it is difficult to segment liver and tumor. Segmentation of extracted region as an imaging biomarker forms an essential component of "Radiomics". This book presents brief intro to liver tumor in CT Scan images, different methods in detecting liver tumor, automatic liver tumor segmentation from abdominal CT scan images is presented. A statistical parameter-based approach is used to distinguish liver tumor tissue from other abdominal organs. The existing segmentation methods such as region growing and intensity based thresholding methods are investigated and compared with statistical parameter-based method.