An advanced deep learning models-based plant disease detection: A review of recent research
Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …
plant diseases which results in significant production losses. However, manual detection of …
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …
production losses, which can be avoided by maintaining vigilance. However, manually …
[HTML][HTML] COVID-19 infection localization and severity grading from chest X-ray images
The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems
incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 …
incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 …
[HTML][HTML] Deep learning for pneumonia detection in chest X-ray images: a comprehensive survey
This paper addresses the significant problem of identifying the relevant background and
contextual literature related to deep learning (DL) as an evolving technology in order to …
contextual literature related to deep learning (DL) as an evolving technology in order to …
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Abstract COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a
contagious and deadly disease that has devastating effects on society and human life …
contagious and deadly disease that has devastating effects on society and human life …
Bangla sign language (bdsl) alphabets and numerals classification using a deep learning model
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and
speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign …
speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign …
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
AV Ikechukwu, S Murali - Machine Learning: Science and …, 2023 - iopscience.iop.org
Automatic identification of salient features in large medical datasets, particularly in chest x-
ray (CXR) images, is a crucial research area. Accurately detecting critical findings such as …
ray (CXR) images, is a crucial research area. Accurately detecting critical findings such as …
[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …
essential to reduce the spread of the virus. Several recent studies suggest that a significant …
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection
The world is slowly recovering from the Coronavirus disease 2019 (COVID-19) pandemic;
however, humanity has experienced one of its According to work by Mishra et al.(2020), the …
however, humanity has experienced one of its According to work by Mishra et al.(2020), the …
A novel machine learning approach for severity classification of diabetic foot complications using thermogram images
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated
to a high index of mortality. One of its major complications is diabetic foot, leading to plantar …
to a high index of mortality. One of its major complications is diabetic foot, leading to plantar …