A systematic review of modern approaches in healthcare systems for lung cancer detection and classification

SK Pandey, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Lung cancer has become a prevalent form of cancer; it can be found in persons of all age
groups. The early stage identification of lung cancer is required to control the integrated …

XCOVNet: chest X-ray image classification for COVID-19 early detection using convolutional neural networks

V Madaan, A Roy, C Gupta, P Agrawal… - New Generation …, 2021 - Springer
COVID-19 (also known as SARS-COV-2) pandemic has spread in the entire world. It is a
contagious disease that easily spreads from one person in direct contact to another …

CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer

A Gopatoti, P Vijayalakshmi - Biomedical signal processing and control, 2022 - Elsevier
Abstract The coronavirus disease 2019 (COVID-19) epidemic had a significant impact on
daily life in many nations and global public health. COVID's quick spread has become one of …

Automatic classification of wheat rust diseases using deep convolutional neural networks

V Kukreja, D Kumar - 2021 9th International Conference on …, 2021 - ieeexplore.ieee.org
Wheat is the staple food for Indians and it is one of the most common grain crops all over the
world. The wheat diseases cause a huge amount of yield losses. The wheat yield losses are …

Point-of-care detection assay based on biomarker-imprinted polymer for different cancers: a state-of-the-art review

N Tarannum, D Kumar, SG Surya, P Dramou - Polymer Bulletin, 2023 - Springer
Selective and sensitive biomolecule detection plays an important role in many systems.
Although natural recognition elements have high affinity to their target molecules. The …

Thresholding Chaotic Butterfly Optimization Algorithm with Gaussian Kernel (TCBOGK) based segmentation and DeTrac deep convolutional neural network for COVID …

AM Alhassan - Multimedia Tools and Applications, 2024 - Springer
The present panic issue all over world is COVID-19. Most perfect with quick identification of
COVID-19 is required to do superior decision that provides immediate treatment for the …

Deep insight of HR management on work from home scenario during Covid pandemic situation using intelligent: analysis on IT sectors in Tamil Nadu

MS Mohanan, V Rajarathinam - International Journal of System Assurance …, 2023 - Springer
Abstract The unexpected Coronavirus Disease 2019 (COVID-19) pandemic has heavily hit
on global business, causing major disruptions in Human Resource Management (HRM) …

Two-tier grading system for npdr severities of diabetic retinopathy in retinal fundus images

C Bhardwaj, S Jain, M Sood - Recent Patents on Engineering, 2021 - ingentaconnect.com
Background: Diabetic Retinopathy is the leading cause of vision impairment and its early
stage diagnosis relies on regular monitoring and timely treatment for anomalies exhibiting …

Predicting air quality indicators using machine learning

A Sharma, P Dahiya - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
The importance of understanding and managing air quality with the rise of industrial activity
has led to a tremendous increase in research towards the application of machine learning in …

[PDF][PDF] The Role of Artificial Intelligence in Accurate Disease Detection from Chest X-rays

SA Yadav, D Athapuram, KP Rao - jcdronline.org
ABSTARCT COVID-19 (also known as SARS-COV-2) pandemic has spread in the entire
world. It is a contagious disease that easily spreads from one person in direct contact to …