Search Results - image ((classification problem) OR (classification system))

Development of preliminary classification system for drug related problem in patients receiving radio pharmaceuticals based on PCNE system V9.1 / Nurulfalahin Daud @ Ibrahim by Daud @ Ibrahim, Nurulfalahin

“…However, the data on DRP in this group of patients are still limited. A classification system for drug related problem is necessary to allow the identification and documentation of drug related problem in a systematic way. …”
Get full text
Get full text

Adaptive skin color classification technique for color-based face detection systems using integral image by Tabatabaie, Zahra Sadri, O. K. Rahmat, Rahmita Wirza, Udzir, Nur Izura, Kheirkhah, Esmaeil

“…An adaptive skin colour classification technique, which considerably resolves around the above mentioned problems in case of illumination conditions and shadow, has been proposed and presented in this paper. …”
Get full text
Get full text
Get full text

Decision tree as knowledge management tool in image classification by Kusrini, , Harjoko, Agus

“…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
Get full text
Get full text
Get full text

Classification of microcalcification in mammogram images using Enhanced Support Vector Machine (ESVM) / Muhammad Akmal Firdaus... [et al.] by Firdaus, Muhammad Akmal, Shadan, Siti Madinah, Mohd Faudzai, Nur Syahizah

“…Support Vector Machine (SVM) is a supervised machine learning algorithm with the ability to build a classification model from a labeled dataset. SVM has been broadly used in image classification of medical imaging such as mammogram images for breast cancer detection due to its higher classification precision, higher prediction accuracy, better generalization capability and better overall performance. …”
Get full text
Get full text

Implementation of vision system for defects classification method using international standard welding imperfection by Awang, Nurfadzylah

“…As welding is a highly repetitive process, the operators will have high hazard exposure.In order to improve the working condition, vision system is proposed. This research proposes a classification of the defects method that involves with image enhancement, image filtering and image segmentation. …”
Get full text
Get full text
Get full text
Get full text

Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

“…NN such as Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) is trained in developing a classification system for agriculture purpose. ANN and KNN is applied to solve the problems in image analysis, pattern recognition and classification. …”
Get full text
Get full text

GRA_Net: a deep learning model for classification of age and gender from facial images by Garain, Avishek, Ray, Biswarup, Singh, Pawan Kumar, Ahmadian, Ali, Senu, Norazak, Sarkar, Ram

“…Gender identification is a binary classification problem whereas prediction of age is a regression problem. …”
Get full text
Get full text
Get full text

Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issue... by Abdulsahib A.A., Mahmoud M.A., Mohammed M.A., Rasheed H.H., Mostafa S.A., Maashi M.S.

“…Aldehydes; Blood; Blood vessels; Classification (of information); Deep learning; Eye protection; Image classification; Image segmentation; Learning algorithms; Learning systems; Medical imaging; Blood-vessel segmentations; Deep learning; Fundus image; Machine learning techniques; Retinal blood; Retinal blood vessel segmentation and retinal blood vessel classification; Retinal blood vessels; Retinal vessels; Vessel classification; Ophthalmology; adult; clinical assessment; deep learning; eye fundus; illumination; photography; retina blood vessel; retina image; review…”

Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks by Muhammad Ashraq, Salahuddin

“…For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. …”
Get full text
Get full text
Get full text

Brain MRI Tumor Analysis and Classification using Deep Learning by Ghazanfar, Latif

“…Most of the recent research studies focus on binary classification of brain MR image into tumorous and non-tumorous images in addition to tumor segmentation. …”
Get full text
Get full text
Get full text

Identification of Adolescent Idiopathic Scoliosis using image processing / Aisyah Afifah Mohd Hanip by Mohd Hanip, Aisyah Afifah

“…The developed prototype is using 60 images. This system was tested for accuracy by calculating the percentage of the entire application accuracy. …”
Get full text
Get full text

Framework for lung images classification based on weighted averaging ensemble and enhanced edge detection techniques by Kieu, Stefanus Tao Hwa

“…Thus, this research aims to produce a lung diseases classification framework by ensembling classifiers trained from features extracted from x-ray images and edge images. …”
Get full text
Get full text
Get full text

Malaysian Ethnicity Classification based on Face Images using Deep Learning by Mohd. Faris Iskandar, Sulfii, Hamimah, Ujir, Malverick Irvine, Moris, Irwandi, Hipiny

“…This paper tackles ethnicity classification based on face images by utilizing a deep learning model. …”
Get full text
Get full text
Get full text

Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah by Abu Samah, Abdul Hafiz

“…In general, this thesis introduces an automated machine learning algorithm for detecting diabetic retinopathy (DR) in fundus images. To improve the performance from current systems, this work has investigation on different of image pre-processing enhancement technique to support accuracy on deep learning for DR classification. …”
Get full text
Get full text

A convolution neural network-based seed classification system by Gulzar, Yonis, Hamid, Yasir, Soomro, Arjumand Bano, Aljuboori, Ali A.Alwan, Journaux, Ludovic

“…Considering the success of the computational intelligence methods in other image classification problems, this research proposes a classification system for seeds by employing CNN and transfer learning. …”
Get full text
Get full text
Get full text
Get full text

Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques by Arif Z.H., Mahmoud M.A., Abdulkareem K.H., Mohammed M.A., Al-Mhiqani M.N., Mutlag A.A., Dama�evi?ius R.

“…Extraction; Feature extraction; Image denoising; Image segmentation; Classification technique; Feature extraction and classification; Feature extraction techniques; Features extraction; Images processing; Machine learning algorithms; Machine learning methods; Research areas; Sensory system; Visual sensory; Image classification…”

Glioma brain tumour classification and detection of magnetic resonance imaging using convolutional neural network / Syazani Adriana Abdul Ghaffar by Abdul Ghaffar, Syazani Adriana

“…The proposed method of detection on MRI brain images accurately classifies and detect the image and achieving a great score of classification accuracy. …”
Get full text
Get full text

Development of rheumatoid arthritis classification from electronic image sensor using ensemble method by Sharon, H., Elamvazuthi, I., Lu, C.-K., Parasuraman, S., Natarajan, E.

“…The RA dataset was gathered from the analysis of white blood cell classification using features extracted from the image of lymphocytes acquired from a digital microscope with an electronic image sensor. …”
Get full text
Get full text

Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

“…The system consists of two main processes, which are classification and detection. …”
Get full text
Get full text
Get full text

Automated detection and classification of Leukemia using deep learning by Lee, Kye Fung

“…The microscopic image samples of these classes are retrieved from two sources, including the Acute Lymphoblastic Leukemia Image Database 1 (ALL-IDB1) and American Society of Hematology (ASH) ImageBank. …”
Get full text
Get full text