This work explains an advanced and accurate brain MRI segmentation method. MR brain image segmentation is to know the anatomical structure, to identify the abnormalities, and to detect various tissues which help in treatment planning prior to radiation therapy. This proposed technique is a Multilevel Thresholding (MT) method based on the phenomenon of Electromagnetism and it segments the image ...

Breast cancer is second leading cause of death among women. Mass of the cancer is initially originates from a single cell but slowly increases in size by rapid multiplication of cells to produces symptoms. Most of the time cancer symptoms are identified at the late stage, when the tumor becomes bigger in size and treatment becomes invasive. Early detection of the cancer before the development o...

Petani selada hidroponik sering menghadapi masalah dalam memantau pertumbuhan dan perkembangan yang mereka tanam. Hal tersebut disebabkan oleh beberapa faktor, antara lain kurangnya keterampilan pengoperasian alat teknologi, serta kesibukan mengurus kegiatan pertanian lainnya. Beberapa penelitian telah dilakukan untuk memonitoring tanaman namun sistem dikembangkan hanya berfokus pada pengontrol...

In view of the slow convergence speed traditional particle swarm optimization algorithms, which makes it easy to fall into local optimum, this paper proposes an OTSU multi-threshold image segmentation based on improved algorithm. After completes iterative update and position, method calculating contribution degree is used obtain approximate position direction, reduces scope search. At same time...

Mammography is a commonly performed imaging study for screening breast cancer. One of the crucial elements of the mammogram processing is an accurate segmentation of the breast tumor region from a mammogram because it directly influences the subsequent analyzing accuracy and the processing speed of the mammogram. The goal of this paper is to propose an accurate and efficient algorithm of breast...

An image segmentation technique based on maximum fuzzy entropy is applied for Magnetic Resonance (MR) brain images to detect a brain tumor is presented in this paper. The proposed method performs image segmentation based on adaptive thresholding of the input MR brain images. The MR brain image is classified into two Membership Function (MF), whose MFs of the fuzzy region are Z-function and S-fu...

Breast cancer is frequently occurred in women to cause death. It is a malignant tumor caused by the abnormal division and reproduction of breast duct or acini cells. Many researches have proven that an early detection of the breast cancer can lead to successful treatments to reduce the death rate of breast cancer. For detecting the early-stage breast cancer, mammography is the most popular and ...

BACKGROUND T2-weighted cardiovascular magnetic resonance (CMR) has been shown to be a promising technique for determination of ischemic myocardium, referred to as myocardium at risk (MaR), after an acute coronary event. Quantification of MaR in T2-weighted CMR has been proposed to be performed by manual delineation or the threshold methods of two standard deviations from remote (2SD), full widt...

Kozo Sadakane, Akira Arai, Wako Aoki, Nobuo Arimoto, Masahide Takada-Hidai, Takashi Ohnishi, Akito Tajitsu, Timothy C. Beers, Nobuyuki Iwamoto, Nozomu Tominaga, Hideyuki Umeda, Keiichi Maeda, and Ken’ichi Nomoto Astronomical Institute, Osaka Kyoiku University, Asahigaoka, Kashiwara, Osaka 582-8582 National Astronomical Observatory, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 Liberal Arts Education Cen...