Results 21 to 30 of about 1,105 (219)

Mass Classification Method in Mammogram Using Fuzzy K-Nearest Neighbour Equality

CoRR, 2014
Mass classification of objects is an important area of research and application in a variety of fields. In this paper, we present an efficient computer aided mass classification method in digitized mammograms using Fuzzy K-Nearest Neighbor Equality, which performs benign or malignant classification on region of interest that contains mass.
I. Laurence Aroquiaraj, K. Thangavel
openaire   +2 more sources

The Application Of Fuzzy K-Nearest Neighbour Methods for A Student Graduation Rate

Indonesian Journal of Artificial Intelligence and Data Mining, 2018
The absence of prediction system that can provide prediction analysis on the graduation rate of students becomes the reason for the research on the prediction of the level of graduation rate of students. Determining predictions of graduation rates of students in large numbers is not possible to do manually because it takes a long time. For that we need
Imam Ahmad, Heni Sulistiani, Hendrik Saputra   +2 more
openaire   +2 more sources

An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures

Entropy, 2015
The dynamics of brain area influenced by focal epilepsy can be studied using focal and non-focal electroencephalogram (EEG) signals. This paper presents a new method to detect focal and non-focal EEG signals based on an integrated index, termed the focal
Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya   +2 more
doaj   +1 more source

Localised edge‐region‐based active contour for medical image segmentation

IET Image Processing, 2021
Segmenting the region of interest (ROI) from medical images is a fundamental but challenging task due to the illumination change and imaging devices. Although many models based on the local region‐based active contour model (LR‐ACM) are proposed to deal ...
Hua‐Xiang Liu, Jiang‐Xiong Fang, Zi‐Jian Zhang, Yong‐Cheng Lin   +3 more
doaj   +1 more source

On Performance Analysis of a Neutrosophic Bipolar Fuzzy and Texture-Based Model for COVID-19 Detection from Chest X-Rays [PDF]

Neutrosophic Sets and Systems
This study proposes a novel hybrid framework for rapid and accurate COVID-19 detection from chest X-ray images by integrating Neutrosophic Bipolar Fuzzy Sets (NBFS) with texture-based feature anal ysis.
S. Sanjayprabu, L. Senthil Kumar, A. Stephan Antony Raj, R. Santhakumari, R. Mareeswari, R. Ajithkumar   +5 more
doaj   +1 more source

A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019
Citizen science is becoming mainstream in a wide variety of real-world applications in astronomy or bioinformatics, in which, for example, classification tasks by experts are very time consuming. These projects engage amateur volunteers that are tasked to manually classify unannotated examples.
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero   +3 more
openaire   +2 more sources

M-CGH: Analysing microarray-based CGH experiments

BMC Bioinformatics, 2004
Background Microarray-based comparative genomic hybridisation (array CGH) is a technique by which variation in relative copy numbers between two genomes can be analysed by competitive hybridisation to DNA microarrays.
Meza-Zepeda Leonardo A, Wang Junbai, Kresse Stine H, Myklebost Ola   +3 more
doaj   +1 more source

Real-time eye tracking for the assessment of driver fatigue

Healthcare Technology Letters, 2018
Eye-tracking is an important approach to collect evidence regarding some participants’ driving fatigue. In this contribution, the authors present a non-intrusive system for evaluating driver fatigue by tracking eye movement behaviours.
Junli Xu, Jianliang Min, Jianfeng Hu
doaj   +1 more source

PENGEMBANGAN SISTEM PAKAR DIAGNOSA PENYAKIT SAPI POTONG DENGAN METODE FUZZY K-NEAREST NEIGHBOUR

Journal of Enviromental Engineering and Sustainable Technology, 2015
Early detection and treatment of cow disease is an important thing for increasing productivity of beef. The dependence of the existence of an expert or veterinarian is too high. It is caused by a lack of knowledge of the breeder about cow disease. This is a condition in which an expert is needed.
Restia Dwi Oktavianing Tyas, Arief Andy Soebroto   +1 more
openaire   +2 more sources

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source