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8 hasil untuk "Podder, Prajoy"

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  1. Artikel Jurnal Teks lengkap

    CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images

    Mondal, M. Rubaiyat Hossain; Bharati, Subrato; Podder, Prajoy

    PLoS One · 2021 · Inggris · PubMed Central

    This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus disease (COVID-19). The novelty of this work is in the introduction of optimized InceptionResNetV2 for COVID-19 (CO-IRv2) method. A part of the CO-IRv2 scheme is derived from the concepts of InceptionNet and…

  2. Artikel Jurnal Teks lengkap

    Hybrid deep learning for detecting lung diseases from X-ray images

    Bharati, Subrato; Podder, Prajoy; Mondal, M. Rubaiyat Hossain

    Inform Med Unlocked · 2020 · Inggris · PubMed Central

    Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is essential. Many image processing and machine learning models have been developed for this purpose. Different forms of…

  3. Artikel Jurnal Teks lengkap

    RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases

    Alam, Fatema Binte; Podder, Prajoy; Mondal, M. Rubaiyat Hossain

    PLoS One · 2023 · Inggris · PubMed Central

    Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more precise diagnoses and reduce misinterpretations in lung disease diagnosis. Existing literature indicates that more research…

  4. Artikel Jurnal Teks lengkap

    Data analytics for novel coronavirus disease

    Mondal, M. Rubaiyat Hossain; Bharati, Subrato; Podder, Prajoy dkk.

    Inform Med Unlocked · 2020 · Inggris · PubMed Central

    This paper describes different aspects of novel coronavirus disease (COVID-19), presents visualization of the spread of the infection, and discusses the potential applications of data analytics on this viral infection. Firstly, a literature survey is done on COVID-19 highlighting a number of…

  5. Artikel Jurnal Teks lengkap

    Application of machine learning for the diagnosis of COVID-19

    Podder, Prajoy; Bharati, Subrato; Mondal, M. Rubaiyat Hossain dkk.

    Data Science for COVID-19 · 2021 · Inggris · PubMed Central

    This chapter focuses on the application of machine learning algorithms on the diagnosis of the novel coronavirus disease (COVID-19). First, data visualization is provided on increases in confirmed deaths and recovered cases of COVID-19 using currently available data from Johns Hopkins University…

  6. Artikel Jurnal Teks lengkap

    A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19

    Bharati, Subrato; Podder, Prajoy; Mondal, M. Rubaiyat Hossain dkk.

    Data Science for COVID-19 · 2022 · Inggris · PubMed Central

    In December 2019, a new form of coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started spreading in Wuhan, China. According to the situation report-95 published by the World Health Organization (WHO), the coronavirus disease spread rapidly to 213 countries and…

  7. Artikel Jurnal Teks lengkap

    Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

    Khamparia, Aditya; Bharati, Subrato; Podder, Prajoy dkk.

    Multidimens Syst Signal Process · 2021 · Inggris · PubMed Central

    Breast cancer is a common cancer in women. Early detection of breast cancer in particular and cancer, in general, can considerably increase the survival rate of women, and it can be much more effective. This paper mainly focuses on the transfer learning process to detect breast cancer. Modified VGG…

  8. Artikel Jurnal Teks lengkap

    LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases

    Podder, Prajoy; Das, Sanchita Rani; Mondal, M. Rubaiyat Hossain dkk.

    Sensors (Basel) · 2023 · Inggris · PubMed Central

    This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This framework is termed optimized DenseNet201 for lung diseases (LDDNet). The proposed LDDNet was developed using additional…