Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance
Background and objectives: By extracting this information, Machine or Deep Learning
(ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers …
(ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers …
Safety risk assessment of sustainable construction based on projection pursuit model optimized by multi-intelligent algorithm: a case study of new chemical projects
W Ju, Z Xing, M Shinwari - Environmental Science and Pollution Research, 2024 - Springer
With the rapid development of urban and social economies, the safety accidents in the
construction process of the new chemical plant have caused huge losses to the city. The …
construction process of the new chemical plant have caused huge losses to the city. The …
TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application
MJ Sundari, NC Brintha - Network Modeling Analysis in Health Informatics …, 2024 - Springer
Ovarian tumors pose a major threat to women's health, mostly remaining undetected until
they reach advanced stages, resulting in complex treatment and decreased survival rates …
they reach advanced stages, resulting in complex treatment and decreased survival rates …
OCEAN-Ovarian Cancer subtypE clAssification and outlier detectioN using DenseNet121
P Paayas, R Annamalai - 2023 Seventh International …, 2023 - ieeexplore.ieee.org
In our exploration, we tackle the significant hurdle of diagnosing ovarian cancer, a
formidable challenge within the field of oncology. This cancer type often remains undetected …
formidable challenge within the field of oncology. This cancer type often remains undetected …