Lung diseases classification in 2D using chest CT cases and Analysis the multi-channel effect on classification. This work is been done during summer internship July-Aguest 2018, Duke University Medical Center.
s the learning rate is one of the most importanthyper-parameters to tune for training convolutional neural net-works. In this paper, a powerful technique to select a range oflearning rates for a neural network that named …
Mammography is the most widely used gold standard method for the screening of the breast cancer and Mass detection is the prominent pre-processing step. State-of-art performances of the DCNN architectures in the field of classification made them an …