Norhashimah Mohd Saad

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This study proposed automatic detection and segmentation of brain lesion in diffusion-weighted magnetic resonance images (DWI) based on Fuzzy C-Means (FCM). Due to noises and intensity inhomogeneity, FCM technique fails in producing accurate results. Active contour and correlation template are integrated to overcome this problem. The brain lesions are acute(More)
This paper presents an automatic segmentation of brain lesions from diffusion-weighted imaging (DWI) using Fuzzy C-Means (FCM) algorithm. The lesions are acute stroke, tumour and chronic stroke. Pre-processing is applied to the DWI for intensity normalization, background removal and enhancement. After that, FCM is used for the segmentation process. FCM is(More)
This paper presents a fully automatic segmentation of brain lesions from diffusion-weighted magnetic resonance imaging (DW-MRI or DWI). The lesions are infarction, hemorrhage, tumor and abscess. Pre-processing stage is performed for intensity normalization, background removal and intensity enhancement. Then, split and merge algorithm is designed. Several(More)
This paper presents brain lesion segmentation of diffusion-weighted magnetic resonance images (DW-MRI or DWI) based on thresholding technique. The lesions are solid tumour, acute infarction, haemorrhage, and abscess. Preprocessing is applied to the DWI for normalization, background removal and enhancement. Two different techniques which are Gamma-law(More)
This paper investigates the factor influencing the design of vibrotactile sensory substitution system for prosthetic hand. The coin motor is used as the vibrotactile stimulator because of its smaller size and cheaper price. This study is to develop a vibrotactile system to study the possibility for finger localization feedback. Three types of stimulator(More)
In this paper, we represent computer aided diagnosis (CAD) system for recognition of lung cancer by analyzing CT images of chest. CAD system helps to improve the diagnostic performance of radiologists in their image interpretations. The proposed system relies on three stages mainly; firstly, the CT image is enhanced. Secondly, the lung and tumor are(More)
This paper presents a segmentation of brain lesion from diffusion-weighted magnetic resonance images (DW-MRI or DWI) using a split and merge approach. The lesions are hyperintense lesion from tumour, acute infarction, haemorrhage and abscess, and hypointense lesion from chronic infarction and haemorrhage. Pre-processing is applied to the DWI for intensity(More)
N.M. Saad , Syed A.R. Abu-Bakar , A.F. Muda , Sobri Muda , A. R. Syafeeza #5 # Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia 1 norhashimah@utem.edu.my, 3 m021310048@student.utem.edu.my, 5 syafeeza@utem.edu.my * Computer Vision, Video and Image Processing Research Lab, Faculty of Electrical Engineering,(More)
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