Search Results - image classification problems

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  1. 1
    Multiclass classification for chest x-ray images based on lesion location in lung zones

    Multiclass classification for chest x-ray images based on lesion location in lung zones by Saad, Mohd Nizam, Muda, Zurina, Sahari, Noraidah, Abd Hamid, Hamzaini

    Published 2015
    “…Therefore, it is difficult to classify CXR images which contain many image features.Realizing the problem, we proposed an application method for multiclass classification with SVM to the CXR images based on the lesion position in the lung zones.The multiclass classification application is executed on the CXR images taken from Japan Society of Radiology Technology dataset.Lesion coordinates were selected as the classification input while the lung zones becomes the labels. …”
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  2. 2
    Ambient-Aware Food Recognition and Management in Context of Smart Fridge

    Ambient-Aware Food Recognition and Management in Context of Smart Fridge by Lau, Christine Yuet Ning

    Published 2020
    “…In this project, Faster-RCNN was used to carry out image classification. Food wastage is now causing a big problem to the world. …”
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  3. 3
    Mixed pixel classification on hyperspectral image using imbalanced learning and hyperparameter tuning methods

    Mixed pixel classification on hyperspectral image using imbalanced learning and hyperparameter tuning methods by Purwadi, Abu, Nur Azman, Mohd, Othman, Kusuma, Bagus Adhi

    Published 2023
    “…Hyperspectral has a huge phenomenon that makes computations heavy compared to other types of images because this image is 3D. The problem faced in hyperspectral image classification is the high computational load, especially if the spatial resolution of the image also has mixed pixel problems. …”
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  4. 4
    Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021

    Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021 by Ghazanfar, Latif, Faisal Yousif, Al Anezi, Dayang Nurfatimah, Awang Iskandar, Abul, Bashar, Jaafar, Alghazo

    Published 2022
    “…The complex nature of the brain tissue makes the problem of locating, segmenting, and ultimately classifying Magnetic Resonance (MR) images a complex problem. …”
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  5. 5
    Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery

    Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery by Nazery, Nur Amalina

    Published 2017
    “…The problem is to classify the images from the set of training images. …”
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  6. 6
    A hierarchical classifier for multiclass prostate histopathology image gleason grading

    A hierarchical classifier for multiclass prostate histopathology image gleason grading by Albashish, Dheeb, Sahran, Shahnorbanun, Abdullah, Azizi, Alweshah, Mohammed, Adam, Afzan

    Published 2018
    “…Automated classification of prostate histopathology images includes the identification of multiple classes, such as benign and cancerous (grades 3 & 4).To address the multiclass classification problem in prostate histopathology images, breakdown approaches are utilized, such as one-versus-one (OVO) and one- versus-all (Ovall). …”
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  7. 7
    Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme

    Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme by Ashour, Mohammed Waleed, Khalid, Fatimah, Al-Obaydee, Mohammed

    Published 2013
    “…Some of the main problems of image classification are the poor features that does not precisely represent an image, and the large dimensionality of data input passed to classifiers. …”
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  8. 8
    Development of preliminary classification system for drug related problem in patients receiving radio pharmaceuticals based on PCNE system V9.1 / Nurulfalahin Daud @ Ibrahim

    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

    Published 2022
    “…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. …”
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  9. 9
    Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images

    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.

    Published 2023
    Review
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  10. 10
    Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis

    Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis by Mohd, Othman *, Nanna , Suryanna, Sahib@Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Selamat, Siti Rahayu

    Published 2012
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  11. 11
    GRA_Net: a deep learning model for classification of age and gender from facial images

    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

    Published 2021
    “…Gender identification is a binary classification problem whereas prediction of age is a regression problem. …”
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  12. 12
    Classification of microcalcification in mammogram images using Enhanced Support Vector Machine (ESVM) / Muhammad Akmal Firdaus... [et al.]

    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

    Published 2019
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  13. 13
    Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks

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

    Published 2013
    “…For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. …”
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  14. 14
    Adaptive skin color classification technique for color-based face detection systems using integral image

    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

    Published 2011
    “…The proposed method first identifies those pixels that have illumination problem using integral image and then the pixels are adjusted using an adaptive gamma intensity correction method to rectify negative effect of illumination problems. …”
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  15. 15
    Decision tree as knowledge management tool in image classification

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

    Published 2008
    “…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.…”
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  16. 16
    Identification of Adolescent Idiopathic Scoliosis using image processing / Aisyah Afifah Mohd Hanip

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

    Published 2020
    “…The need for an application that can speed up the process and use a method that surgeons, physiatrists and academician would understand is certainly going to solve the problems. To overcome these problems, Identification of Adolescent Idiopathic Scoliosis application is built by using image processing. …”
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  17. 17
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…In general, image segmentation isolates an object from the images, feature extraction creates features for classification phase while object classification categorizes objects into the correct groups……”
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  18. 18
    An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images

    An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images by Ibrahim, I., Ibrahim, Z., Khalil, K., Mokji, M.M., Abu Bakar, S.A.R.S., Mokhtar, N., Ahmad, W.K.W.

    Published 2012
    “…The defect classification algorithm is improved by incorporating proper image registration and thresholding techniques to solve the alignment and uneven illumination problem. …”
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  19. 19
    Brain MRI Tumor Analysis and Classification using Deep Learning

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

    Published 2021
    “…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. …”
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  20. 20
    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali

    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali by Hambali, Hamirul‘Aini

    Published 2016
    “…Image segmentation and object classification processes are gaining importance in image processing applications such as in agricultural area. …”
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