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Digital Imaging for Blood Diseases

45 та иш

  1. Automatic Classification and Diagnostic Analysis of Microscopic Blood Images Using R CNN Model

    Fotima Tulaganova, Sanjar Omonov, Abdulaziz Xo'jamqulov

    МақолаBrain Tumor Detection and Classification20246 иқтибос
    ABI

  2. Detection of Eye Disease in Retinal Images Based on Haar Wavelets

    Tokhir Urazmatov, Khurmatbek Otamuratov, Odamboy Djumanazarov +1

    МақолаRetinal Imaging and Analysis20243 иқтибос
    ABI

  3. Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images

    Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Malika Bendechache +5

    МақолаCOVID-19 diagnosis using AIBioMed Research International20212 иқтибос
    ABI

  4. Force Map-Enhanced Segmentation of a Lightweight Model for the Early Detection of Cervical Cancer

    Sabina Umirzakova, Shakhnoza Muksimova, Jushkin Baltayev +1

    МақолаAI in cancer detectionDiagnostics20252 иқтибос
    ABI

  5. Bridging the Gap Between Accuracy and Efficiency in AI-Based Breast Cancer Diagnosis from Histopathological Data

    Kuldashbay Avazov, Sabina Umirzakova, Akmalbek Abdusalomov +6

    МақолаAI in cancer detectionCancers20252 иқтибос
    ABI

  6. Colour visualization of red blood cells in native smears by the new method reflected light microscopy

    A. A. Paiziev, V. A. Krakhmalev

    БобDigital Imaging for Blood Diseases20081 иқтибос
    ABI

  7. Blood Cancer Detection with Microscopic Images Using Machine Learning

    Christo Ananth, P. Tamilselvi, S. Agnes Joshy +1

    БобDigital Imaging for Blood DiseasesLecture notes in networks and systems20221 иқтибос
    ABI

  8. Analysis and prediction of different stages of brain tumor from mri using ai models

    Rustam Navruzov, Jasur Ismoilov, Mukhammadshokir Bahadirkhanov +4

    МақолаBrain Tumor Detection and ClassificationHealth Leadership and Quality of Life20241 иқтибос
    ABI

  9. Investigation of Histological Image Classification Methods Using Different Feature Extraction Techniques

    Nomaz Mirzaev, Farkhod Meliev

    МақолаAI in cancer detectionAmerican Journal of Artificial Intelligence20241 иқтибос
    ABI

  10. Leukemia Blood Cell Image Classification Using Convolutional Neural Network

    T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev +2

    МақолаDigital Imaging for Blood DiseasesInternational Journal of Computer Theory and Engineering20180 иқтибос
    ABI

  11. Image Segmentation Applied To Satellite Imagery For Monitoring Water In Lakes And Reservoirs

    Amelia Carolina Sparavigna

    МақолаGroundwater and Watershed AnalysisSSRN Electronic Journal20180 иқтибос
    ABI

  12. On the definition of a concentration function relevant to the ROC curve

    Mauro Gasparini, Lidia Sacchetto

    ПрепринтArtificial Intelligence in HealthcareMETRON20200 иқтибос
    ABI

  13. Review And Analysis Of Computer Vision Algorithms

    Bakhtiyar Rakhimov, Feroza B. Rakhimova, Sabokhat K. Sobirova +2

    МақолаCurrency Recognition and DetectionThe American Journal of Applied Sciences20210 иқтибос
    ABI

  14. CHARACTERISTICS AND EFFECTS OF ACUTE BRONCHIOLITIS IN INFECTIOUS CHILDREN (CYTOMEGALOVIRUS)

    J.N. Oripova

    МақолаViral Infections and VectorsЭкономика и социум20210 иқтибос
    ABI

  15. Brain tumor recognition using an integrated bat algorithm with a convolutional neural network approach

    Riddhi Chawla, Shehab Mohamed Beram, C. Ravindra Murthy +4

    МақолаBrain Tumor Detection and ClassificationMeasurement Sensors20220 иқтибос
    ABI

  16. IMPROVING THE VISUAL DIAGNOSIS OF DISEASES USING HYBRID NEURAL NETWORKS

    S.N. Iskandarova, Javlonbek Saydazimov

    МақолаDigital Imaging for Blood DiseasesOriental Journal of Medicine and Pharmacology20220 иқтибос
    ABI

  17. Brain tumor detection using unsupervised local center of mass segmentation: As an CNN based approach

    Niladri Maiti, G. Meena Devi, Aishwarya Loganathan +3

    МақолаBrain Tumor Detection and ClassificationAIP conference proceedings20230 иқтибос
    ABI

  18. Pattern Recognition, Imaging Models, and Artificial Intelligence

    M. Dharani, Niha Kamal Basha, Christo Ananth

    БобDigital Imaging for Blood DiseasesAdvances in computational intelligence and robotics book series20230 иқтибос
    ABI

  19. Multifractal Analysis in Age-Based Classification for COVID-19 Patients’ CT-Scan Images with Different Noise Levels

    R. Valarmathi, C. Thangaraj, D. Easwaramoorthy +3

    МақолаCOVID-19 diagnosis using AIFluctuation and Noise Letters20240 иқтибос
    ABI

  20. HNIHA: Hybrid Nature-Inspired Imbalance Handling Algorithm to Addressing Imbalanced Datasets for Improved Classification: In Case of Anemia Identification

    Dimas Chaerul Ekty Saputra, Tri Ratnaningsih, Irianna Futri +4

    МақолаArtificial Intelligence in HealthcareBuletin Ilmiah Sarjana Teknik Elektro20240 иқтибос
    ABI

  21. Breast cancer diagnosis using machine learning techniques

    Muhamediyeva Dildora, Shaazizova Madina, Doshchanova Malika

    МақолаAI in cancer detection20240 иқтибос
    ABI

  22. Automatic smart brain tumor classification and prediction system using deep learning

    Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali +5

    МақолаBrain Tumor Detection and ClassificationScientific Reports20250 иқтибос
    ABI

  23. Lightweight Evolving U-Net for Next-Generation Biomedical Imaging

    Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin +5

    МақолаAI in cancer detectionDiagnostics20250 иқтибос
    ABI

  24. White blood cells detection using deep learning in healthcare applications

    Amr Abozeid, Ibrahim Alrashdi, V.S. Krushnasamy +5

    МақолаDigital Imaging for Blood DiseasesAlexandria Engineering Journal20250 иқтибос
    ABI

  25. Lab Color Model and Contrast Modification as a Tool for Improving the Quality of Medical Images

    Amer Tahseen Abu-Jassar, Mohammad Hamdan, Kawther Hamash +2

    МақолаAI in cancer detection20250 иқтибос
    ABI