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Работы, на которые ссылается эта работа

Работ: 66

Работа: CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm

  1. Evaluating Synthetic Medical Images Using Artificial Intelligence with the GAN Algorithm

    Akmalbek Abdusalomov, Rashid Nasimov, Nigorakhon Nasimova +2

    СтатьяAI in cancer detectionSensors2023Цитирований: 19
    ABI

  2. Attention 3D U-Net with Multiple Skip Connections for Segmentation of Brain Tumor Images

    Nodirov Jakhongir, Akmalbek Abdusalomov, Taeg Keun Whangbo

    Статья2022Цитирований: 13
    ABI

  3. New Approach for Generating Synthetic Medical Data to Predict Type 2 Diabetes

    Zarnigor Tagmatova, Akmalbek Abdusalomov, Rashid Nasimov +3

    СтатьяArtificial Intelligence in HealthcareBioengineering2023Цитирований: 10
    ABI

  4. Medical image super-resolution for smart healthcare applications: A comprehensive survey

    Sabina Umirzakova, Shabir Ahmad, Latif U. Khan +1

    Статья2023Цитирований: 10
    ABI

  5. Squeeze-and-Excitation Networks

    Jie Hu, Li Shen, Gang Sun

    Препринт2018Цитирований: 8
    ABI

  6. Concatenated CNN-Based Pneumonia Detection Using a Fuzzy-Enhanced Dataset

    Abror Shavkatovich Buriboev, Dilnoz Muhamediyeva, Holida Primova +3

    СтатьяCOVID-19 diagnosis using AISensors2024Цитирований: 7
    ABI

  7. Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques

    Zahid Rasheed, Yong-Kui Ma, Inam Ullah +6

    СтатьяBrain Tumor Detection and ClassificationBrain Sciences2023Цитирований: 5
    ABI

  8. Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments

    Akmalbek Abdusalomov, Mekhriddin Rakhimov, Jakhongir Karimberdiyev +2

    СтатьяBrain Tumor Detection and ClassificationBioengineering2024Цитирований: 4
    ABI

  9. Computer State Evaluation Using Adaptive Neuro-Fuzzy Inference Systems

    Abror Shavkatovich Buriboev, Azamjon Muminov

    СтатьяEEG and Brain-Computer InterfacesSensors2022Цитирований: 4
    ABI

  10. Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques

    Abror Shavkatovich Buriboev, Хошим Рахманов, Temur Soqiyev +1

    СтатьяFire Detection and Safety SystemsSensors2024Цитирований: 4
    ABI

  11. Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processing

    Shahid Mehmood, Taher M. Ghazal, Muhammad Adnan Khan +4

    Статья2022Цитирований: 3
    ABI

  12. Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning

    Muhammad Umar Nasir, Muhammad Zubair, Taher M. Ghazal +6

    Статья2022Цитирований: 3
    ABI

  13. IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning

    M. D. Reyad Hossain Khan, Pir Masoom Shah, Izaz Ahmad Khan +4

    Статья2023Цитирований: 2
    ABI

  14. Без названия

    ДругоеЦитирований: 2
    ABI

  15. Kidney segmentation from computed tomography images using deep neural network

    Luana Batista da Cruz, José Denes Lima Araújo, Jonnison Lima Ferreira +5

    Статья2020Цитирований: 2
    ABI

  16. MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net

    Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta +1

    Статья2020Цитирований: 2
    ABI

  17. Applications of Machine Learning and High-Performance Computing in the Era of COVID-19

    Abdul Majeed, Sungchang Lee

    Статья2021Цитирований: 2
    ABI

  18. Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray Images

    Pratik Bhowal, Subhankar Sen, Jin Hee Yoon +2

    Статья2021Цитирований: 2
    ABI

  19. A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images

    Chiu‐Han Hsiao, Ping-Cherng Lin, Li-An Chung +6

    Статья2022Цитирований: 2
    ABI

  20. Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images

    Dan Li, Chuda Xiao, Yang Liu +8

    Статья2022Цитирований: 2
    ABI

  21. Kidney Segmentation with LinkNetB7

    Cihan AKYEL

    Статья2023Цитирований: 2
    ABI

  22. Ensemble Transfer Learning-Based Convolutional Neural Network for Kidney Segmentation

    S Nagarajan, M. Ramprasath

    Статья2024Цитирований: 2
    ABI

  23. Без названия

    ДругоеЦитирований: 1
    ABI

  24. Без названия

    ДругоеЦитирований: 1
    ABI

  25. Без названия

    ДругоеЦитирований: 1
    ABI