History of Neurosurgery in Malaysia: The Past, Present and Future.

The history of neurosurgery in Malaysia traces back to 1962 and is filled with stories of vibrant and humble neurosurgeons who have dedicated their life to patients and professions. The early development of neurological and neurosurgical services begins from the establishment of the neurosurgery unit at Hospital Kuala Lumpur (HKL), followed by the foundation of the Tunku Abdul Rahman Neuroscience Institute (IKTAR). Due to the exponentially increased demand for the care of neurosurgical patients, many universities and government hospitals have opened their neurosurgical units.

Preliminary Comparative Study of Oral7® Versus Salt-Soda Mouthwash on Oral Health Related Problems and Quality of Life among Head and Neck Cancer Patients Undergoing Radiotherapy.

Background: This quasi-clinical trial compared the effects of Oral7 and salt-soda mouthwash on the development of dental caries, salivary gland function, radiation mucositis, xerostomia and EORTC QLQ H&N C35 scores in head and neck cancer patients who underwent radiotherapy.

Methods: We included patients with histopathologically diagnosed head and neck cancers who had received radiation, with an Eastern Cooperative Oncology Group (ECOG) performance status 0-1 and age range of 15-60 years. Patients with prior radiotherapy and chemotherapy, edentulous status, total parotidectomy, sicca syndrome or on xerosis-induced medications were excluded.

Unifying the seeds auto-generation (SAGE) with knee cartilage segmentation framework: data from the osteoarthritis initiative.

Purpose: Manual segmentation is sensitive to operator bias, while semiautomatic random walks segmentation offers an intuitive approach to understand the user knowledge at the expense of large amount of user input. In this paper, we propose a novel random walks seed auto-generation (SAGE) hybrid model that is robust to interobserver error and intensive user intervention.

Methods: Knee image is first oversegmented to produce homogeneous superpixels.

Investigation of random walks knee cartilage segmentation model using inter-observer reproducibility: Data from the osteoarthritis initiative.

Background: Existing knee cartilage segmentation methods have reported several technical drawbacks. In essence, graph cuts remains highly susceptible to image noise despite extended research interest; active shape model is often constraint by the selection of training data while shortest path have demonstrated shortcut problem in the presence of weak boundary, which is a common problem in medical images.

Objectives: The aims of this study is to investigate the capability of random walks as knee cartilage segmentation method.