9 research outputs found

    Segmentation Based Classification for Mitotic Cells Detection on Breast Histopathological Images

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    Breast cancer grading is the standard clinical practice for the prognosis and diagnosis of breast cancer development. The Nottingham Histological Grading (NHG) system is widely used in the breast cancer grading. One of the main criteria in assessing breast cancer is mitotic counts as it reflects the speed of cell division in cancer cells. Detection of mitotic candidates could be performed by implementing image processing techniques. The accuracy of mitotic cells detection is dependent on the number of mitotic candidates. Thus, minimizing the number of mitotic candidates is a crucial step in optimizing accuracy. This study proposed a segmentation based classification method to minimize number of false positive in mitotic candidates. The results show that the proposed segmentation based classification method could provide a promising result by achieving an average effectiveness of 91.85% in minimizing the mitotic candidate number

    Image Enhancement Techniques Using Local, Global, Bright, Dark and Partial Contrast Stretching For Acute Leukemia Images

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    Leukaemia is a malignant disease (cancer) that affects people in any age either they are children or adults over 50 years old.Nowadays, there are screening system guidelines for leukaemia patients.The screening result from looking at a sample of patient blood, can determine the abnormal levels of white blood cells, which may suggest leukaemia for further diagnostic stage. Therefore, medical professional using medical images to diagnose leukemia. However, there are blurness and effects of unwanted noise on blood leukaemia images that sometimes result in false diagnosis.Thus image pre-processing such as image enhancement techniques are needed to improve this situation.This study proposes several contrast enhancement techniques which are local contrast stretching, global contrast stretching, partial contrast stretching, bright and dark contrast stretching.All techniques are applied on the leukaemia images.The comparison for all the proposed image enhancement techniques was carried out to find the best technique to enhance the acute leukaemia images. The results show that the partial contrast stretching is the best technique that helps to improve the image quality

    Simulation of single channel magnetic induction spectroscopy for fetal hypoxia detection

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    Conventional fetal scalp blood sampling (FBS) need an invasive measurement to detect fetal hypoxia in fetus. This paper describe non-invasive technique employing single channel magnetic induction technique. The simulation was done to determine the best range of frequency value to detect biological tissue and tested with different value of conductivity value

    Jaundice assessement of newborn baby: a short review on Kramel’s Rule and magnetic induction spectroscopy

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    Jaundice is a yellow discolouration of white eyes (sclera), skin and mucous membrane which is clinically apparent when the level of serum bilirubin rises up to 5 mg/dl. Jaundice could cause abnormalities in the newborn infant when production of bilirubin exceeds the normal range. Formation of bilirubin starts from degradation of hemoglobin and haemoprotein, which is released from red blood cell. Current technique in evaluating jaundice of new born infant is based on Kramer’s Rule but unfortunately it is not very applicable to the babies with dark skin. Thus Magnetic Induction Spectroscopy (MIS) is introduced as an alternative to this issue as MIS is a non-invasive, non-intrusive and electrodeless measurement scheme. This paper will go through short overview on jaundice measurement as well as MIS modality
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