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OpenAlex konusu

Brain Tumor Detection and Classification

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 1.483 eser 96 yazar konusu

Çalışmalar

1.483 eser

  1. The Multimodal Brain Tumor Image Segmentation Benchmark BRATS 2015
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences. Twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low- and high-grade glioma p…

  2. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods 2016
    YÖKSİS OpenAlex üst %1 OpenAlex 100.0%

    Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. Manual segmentation of the brain tumors for cancer diagnosis, from large amount of MRI images generate…

  3. Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework 2021
    YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

  4. Transfer learning based histopathologic image classification for breast cancer detection 2018
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

    Özet henüz yok.

  5. Transfer learning based histopathologic image classification for breast cancer detection 2018
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

    Özet henüz yok.

  6. Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools 2023
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    Özet henüz yok.

  7. Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    Özet henüz yok.

  8. Brain tumor classification using modified local binary patterns (LBP) feature extraction methods 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  9. Brain tumor classification using modified local binary patterns (LBP) feature extraction methods 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  10. Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy 2019
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  11. Deep learning based brain tumor classification and detection system 2018
    YÖKSİS TR Index SJR Q3 JCR Q4 OpenAlex üst %10 OpenAlex 97.7%

    The brain cancer treatment process depends on the physician's experience and knowledge. For this reason, using an automated tumor detection system is extremely important to aid radiologists and physicians to detect brain tumors. The proposed method has three stages, which are preprocessing, the extreme learning machin…

  12. Overcoming nonlinear dynamics in diabetic retinopathy classification: A robust AI-based model with chaotic swarm intelligence optimization and recurrent long short-term memory 2023
    YÖKSİS SJR Q2 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated in time. It is vital to limit the progression of DR disease in order to prevent the loss of vision in diabetic patients. It is therefore…

Akademisyenler

96 akademisyen