Computer-Aided Preoperative Planning for Liver Surgery Based on CT Images

Computer Aided Liver Surgery Planning Based on Augmented Reality Techniques

A New Computer-Aided Detection System for Pulmonary Nodule in CT Scan Images of Cancerous Patients

Introduction: In the lung cancers, a computer-aided detection system that is capable of detecting very small glands in high volume of CT images is very useful.This study provided a novelsystem for detection of pulmonary nodules in CT image. Methods: In a case-control study, CT scans of the chest of 20 patients referred to Yazd Social Security Hospital were examined. In the two-dimensional and ...

Computer-Aided Diagnostic System Based on Liver CT Image

This paper proposes an automatic system which can perform the entire diagnostic process from the extraction of the liver to the recognition of a tumor. In particular, the proposed technique uses shape information to identify and recognize a lesion adjacent to the border of the liver, which can otherwise be missed. In addition, since the intensity of a lesion can vary greatly according to the pa...

Computer-aided Classification of Liver Lesions from CT Images Based on Multiple ROI

This manuscript introduces an automated Computer-Aided Classification (CAD) system to classify liver lesions into Benign or Malignant. The system consists of three stages; firstly, automatic liver segmentation and lesion detection. Secondly, extracting features from multiple ROIs, which is the novelty. Finally, classifying liver lesions into benign and malignant. The proposed system divides a s...

Ultrasound-based navigation system incorporating preoperative planning for liver surgery

An overview of the current status of the development of our navigation system for resection of liver tumours is given. The system is based on intraoperative 3D ultrasound volumes for image-guided navigation of surgical instruments. It is also possible to perform a virtual 3D planning of the tumour resection and to non-rigidly register these preoperative models to the intraoperative ultrasound v...