A novel variant of deep convolutional neural network for classification of ovarian tumors using CT images

A Kodipalli, SV Devi, S Dasar, T Ismail - Computers and Electrical …, 2023 - Elsevier
Deep Learning models have shown tremendously impressive performance on image
classification tasks. In the medical imaging domain, progress has been made in obtaining …

Computational framework of inverted fuzzy C-means and quantum convolutional neural network towards accurate detection of ovarian tumors

A Kodipalli, SL Fernandes, SK Dasar… - International Journal of E …, 2023 - igi-global.com
Due to the advancements in the lifestyle, stress builds enormously among individuals. A few
recent studies have indicated that stress is a major contributor for infertility and subsequent …

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs

M Neshat, M Ahmed, H Askari, M Thilakaratne… - Procedia Computer …, 2024 - Elsevier
Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for
effectively treating and managing the disease. Pneumonia is a common respiratory infection …

A Comprehensive Study on Deep Learning Models for the Detection of Ovarian Cancer and Glomerular Kidney Disease using Histopathological Images

SJKJ Kumar, GP Kanna, DP Raja, Y Kumar - Archives of Computational …, 2024 - Springer
Ovarian cancer is a significant health concern because of its high mortality rates and
potential to cause glomerular injury, which can obstruct the urinary tract. It is very crucial to …

Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance

MT Hira, MA Razzaque, M Sarker - arXiv preprint arXiv:2311.11932, 2023 - arxiv.org
Background and objectives: By extracting this information, Machine or Deep Learning
(ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers …

[HTML][HTML] Performance Analysis of Segmentation and Classification of CT-Scanned Ovarian Tumours Using U-Net and Deep Convolutional Neural Networks

A Kodipalli, SL Fernandes, V Gururaj… - Diagnostics, 2023 - mdpi.com
Difficulty in detecting tumours in early stages is the major cause of mortalities in patients,
despite the advancements in treatment and research regarding ovarian cancer. Deep …

Diabetes, Hypertension and Stroke Prediction Using Computational Algorithms

R Yashvanth, M Rehan, A Kodipalli… - … on Communication & …, 2023 - ieeexplore.ieee.org
Diabetes, stroke, and hypertension are the three among main global causes of mortality and
disability. Early identification and prediction of these chronic diseases is crucial for effective …

Prediction of Early Heart Attack Possibility Using Machine Learning

K Tn, S Meghana, A Kodipalli, T Rao… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The most vital or important organ in our body is the heart. Over the recent decades, cardiac
diseases has been the primary cause of mortality worldwide. Our heart is employed to …

[HTML][HTML] Integrating Artificial Intelligence to Biomedical Science: New Applications for Innovative Stem Cell Research and Drug Development

M Kim, S Hong - Technologies, 2024 - mdpi.com
Artificial intelligence (AI) is rapidly advancing, aiming to mimic human cognitive abilities, and
is addressing complex medical challenges in the field of biological science. Over the past …

Prediction of Diabetes using Machine Learning Algorithms and Correlation with Pregnancy

S Shahane, TC Siri, R Bhoomika… - 2023 3rd …, 2023 - ieeexplore.ieee.org
When the body is unable to control blood glucose levels, diabetes, a chronic medical
condition, develops. Pregnant women who have gestational diabetes mellitus (GDM) are …