An advanced deep learning models-based plant disease detection: A review of recent research

M Shoaib, B Shah, S Ei-Sappagh, A Ali… - Frontiers in Plant …, 2023 - frontiersin.org
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 …

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

M Shoaib, T Hussain, B Shah, I Ullah… - Frontiers in plant …, 2022 - frontiersin.org
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 …

[HTML][HTML] COVID-19 infection localization and severity grading from chest X-ray images

AM Tahir, MEH Chowdhury, A Khandakar… - Computers in biology …, 2021 - Elsevier
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 …

[HTML][HTML] Deep learning for pneumonia detection in chest X-ray images: a comprehensive survey

R Siddiqi, S Javaid - Journal of imaging, 2024 - mdpi.com
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 …

COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images

HC Reis, V Turk - Artificial Intelligence in Medicine, 2022 - Elsevier
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 …

Bangla sign language (bdsl) alphabets and numerals classification using a deep learning model

KK Podder, MEH Chowdhury, AM Tahir, ZB Mahbub… - Sensors, 2022 - mdpi.com
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 …

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 …

[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds

T Rahman, N Ibtehaz, A Khandakar, MSA Hossain… - Diagnostics, 2022 - mdpi.com
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 …

PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection

FF Abir, MEH Chowdhury, MI Tapotee… - … Applications of Artificial …, 2023 - Elsevier
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 …

A novel machine learning approach for severity classification of diabetic foot complications using thermogram images

A Khandakar, MEH Chowdhury, MBI Reaz, SHM Ali… - Sensors, 2022 - mdpi.com
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 …