Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection
S Vijh, P Gaurav, HM Pandey - Neural Computing and Applications, 2023 - Springer
In this paper, we have proposed a hybrid bio-inspired algorithm which takes the merits of
whale optimization algorithm (WOA) and adaptive particle swarm optimization (APSO). The …
whale optimization algorithm (WOA) and adaptive particle swarm optimization (APSO). The …
Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model
DN Vinod, BR Jeyavadhanam, AM Zungeru… - Computers in biology …, 2021 - Elsevier
Abstract SARS-COV2 (Covid-19) prevails in the form of multiple mutant variants causing
pandemic situations around the world. Thus, medical diagnosis is not accurate. Although …
pandemic situations around the world. Thus, medical diagnosis is not accurate. Although …
[HTML][HTML] Implementation of African vulture optimization algorithm based on deep learning for cybersecurity intrusion detection
A Alsirhani, MM Alshahrani, AM Hassan… - Alexandria Engineering …, 2023 - Elsevier
The smart grid is an innovation that employs two-way communications to give innovative
services to end consumers. Due to the severe contradictions in this connection, this system …
services to end consumers. Due to the severe contradictions in this connection, this system …
Automatic classification of severity of COVID‐19 patients using texture feature and random forest based on computed tomography images
Severity assessment of the novel Coronavirus (COVID‐19) using chest computed
tomography (CT) scan is crucial for the effective administration of the right therapeutic drugs …
tomography (CT) scan is crucial for the effective administration of the right therapeutic drugs …
Adversarial robust image processing in medical digital twin
S Shamshiri, H Liu, I Sohn - Information Fusion, 2025 - Elsevier
Recent advancements in state-of-the-art technologies, including Artificial Intelligence (AI),
Internet of Things (IoT), and cloud computing, have led to the emergence of an innovative …
Internet of Things (IoT), and cloud computing, have led to the emergence of an innovative …
[PDF][PDF] Implementation of machine learning and deep learning models based on structural MRI for identification autism spectrum disorder
DCE Saputra, Y Maulana, TA Win… - Jurnal Ilmiah Teknik …, 2023 - researchgate.net
Autism spectrum disorder (ASD) is a developmental disability resulting from neurological
disparities. People with ASD frequently struggle with communication, social interaction, and …
disparities. People with ASD frequently struggle with communication, social interaction, and …
Classification of colon cancer based on hispathological images using adaptive neuro fuzzy inference system (ANFIS)
N Hidayah, AN Ramadanti… - … Informatika: Jurnal Ilmu …, 2023 - journals.ums.ac.id
Cancer is a disease that is widely known and suffered by people in various countries. One
type of cancer classified as the third contributor to death is colon cancer, with a mortality rate …
type of cancer classified as the third contributor to death is colon cancer, with a mortality rate …
Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage …
Y Thangavel, H Garg, M Alagarsamy… - … Signal Processing and …, 2024 - Elsevier
Cancer of the breasts is a prevalent and possibly fatal disease that causes abnormal
development of cells in breast tissue. It is the most prevalent tumor in women globally, and it …
development of cells in breast tissue. It is the most prevalent tumor in women globally, and it …
Efficient feature extraction on mammogram images using enhanced grey level co-occurrence matrix
S Surya, A Muthukumaravel - International Journal of …, 2023 - inderscienceonline.com
Breast cancer is among the most persistent malignant growths that can affect women, and it
is now one of the leading causes of mortality. Mammography is a useful screening …
is now one of the leading causes of mortality. Mammography is a useful screening …
Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms
FS Prity, N Nath, A Nath, KMA Uddin - Network Modeling Analysis in …, 2023 - Springer
The COVID-19 pandemic has had an obliterating impact on the health and well-being of the
worldwide populace. It has recently become one of the most severe and acute diseases and …
worldwide populace. It has recently become one of the most severe and acute diseases and …