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3D Supervised Learning for CT Hematoma Segmentation via Transfer Learning from a 2D Trained Network
(2020-05-19)
Supervised learning approaches are the most widely used models in medical image processing and tend to offer the highest level of accuracy when paired data and labels are available. However, manual labeling process is ...
A Deep Learning Pipeline for Lung Cancer Classification on Imbalanced Data Set
(2020-05-19)
Lung cancer is one of the most common malignant tumors in the world today, and it is the leading cause of cancer death, accounting for 1 in 4 cancer deaths (Gatsonis et al.,2011). Various automatic lung cancer detection ...