AIMC Topic: Tomography, X-Ray Computed

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Lung Cancer Detection Using Fuzzy Auto-Seed Cluster Means Morphological Segmentation and SVM Classifier.

Journal of medical systems
An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment the lung nodules from the consecutive slices of Computer Tomography (CT) images to detect the lung cancer. The initial cluster values were chosen aut...

An improved parallel fuzzy connected image segmentation method based on CUDA.

Biomedical engineering online
PURPOSE: Fuzzy connectedness method (FC) is an effective method for extracting fuzzy objects from medical images. However, when FC is applied to large medical image datasets, its running time will be greatly expensive. Therefore, a parallel CUDA vers...

Liver vessel segmentation based on extreme learning machine.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Liver-vessel segmentation plays an important role in vessel structure analysis for liver surgical planning. This paper presents a liver-vessel segmentation method based on extreme learning machine (ELM). Firstly, an anisotropic filter is used to remo...

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.

Medical & biological engineering & computing
The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver cancer. Furthermore, an accurate assessment of tumour volume aids in the diagnosis and evaluation of treatment response. Currently, segmentation is perf...

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.

Scientific reports
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results...

Accuracy of Component Placement in Robotic-Assisted Total Hip Arthroplasty.

Orthopedics
Robotic-assisted total hip arthroplasty (THA) is a recent platform introduced to decrease the risk of malpositioned components. The goals of this study were to determine whether intraoperative data on robotic-assisted THA acetabular component positio...

Robotic Mitral Valve Replacement in Pectus Excavatum.

Journal of cardiac surgery
Exposure of the mitral valve can be challenging using conventional sternotomy and thoracotomy incisions in patients with pectus deformity. We report the use of a robotic approach to replace a rheumatic mitral valve in a patient with pectus excavatum....

Automatic segmentation of vertebral contours from CT images using fuzzy corners.

Computers in biology and medicine
Automatic segmentation of bone in computed tomography (CT) images is critical for the implementation of computer-assisted diagnosis which has increasing potential in the evaluation of various spine disorders. Of the many techniques available for deli...

Clinical and oncologic outcomes of totally robotic total mesorectal excision for rectal cancer: initial results in a center for minimally invasive surgery.

International journal of colorectal disease
PURPOSE: A robotic system was mainly designed to allow precise dissection in deep and narrow spaces. We report the clinical and oncologic outcomes of totally robotic total mesorectal excision for rectal cancer.