BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans
Abstract Background: Pulmonary function tests (PFTs) and computed tomography (CT)
imaging are vital in diagnosing, managing, and monitoring lung diseases. A common issue …
imaging are vital in diagnosing, managing, and monitoring lung diseases. A common issue …
Accurate object localization facilitates automatic esophagus segmentation in deep learning
Z Li, G Gan, J Guo, W Zhan, L Chen - Radiation Oncology, 2024 - Springer
Background Currently, automatic esophagus segmentation remains a challenging task due
to its small size, low contrast, and large shape variation. We aimed to improve the …
to its small size, low contrast, and large shape variation. We aimed to improve the …
AI-driven rehabilitation indicators for non-performing credit
Α Κιντή - 2025 - amitos.library.uop.gr
The banking sector and lending organizations are undergoing significant transformation,
driven by advancements in Machine Learning (ML). A pivotal application of ML in this …
driven by advancements in Machine Learning (ML). A pivotal application of ML in this …