[HTML][HTML] Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning
Lung malignancy is one of the most common causes of death in the world caused by
malignant lung nodules which commonly diagnosed radiologically by radiologists …
malignant lung nodules which commonly diagnosed radiologically by radiologists …
Pulmonary Nodule Segmentation using Deep Learning: A Review
Y Wang, SM Mustaza, MS Ab-Rahman - IEEE Access, 2024 - ieeexplore.ieee.org
Accurate segmentation of pulmonary nodule within medical imagery is of great significance
for classification and diagnosis. This task is profoundly challenging due to scarcity of …
for classification and diagnosis. This task is profoundly challenging due to scarcity of …
Border to border distance based lung parenchyma segmentation including juxta-pleural nodules
Lung Segmentation is one of the pre-processing steps for lung cancer diagnosis.
Segmentation of lung contour is challenging when the nodules are attached to the …
Segmentation of lung contour is challenging when the nodules are attached to the …
On Modeling and Assessing Uncertainty Estimates in Neural Learning Systems
J Sicking - 2023 - bonndoc.ulb.uni-bonn.de
While neural networks are universal function approximators when looked at from a
theoretical perspective, we face, in practice, model size constraints and highly sparse data …
theoretical perspective, we face, in practice, model size constraints and highly sparse data …
[PDF][PDF] Automated identification of 3D lung CT image orientation
Computerized tomography (CT) is one of the major high-resolution imaging modalities. It is
especially useful in the early detection of lung abnormalities. However, CT images are …
especially useful in the early detection of lung abnormalities. However, CT images are …