Content Based Image Retrieval of Pulmonary Lung Nodules.
Work In Progress
Armato III, Samuel G., McLennan, Geoffrey, Bidaut, Luc, McNitt-Gray, Michael F., Meyer, Charles R., Reeves, Anthony P., … Clarke, Laurence P. (2015). Data From LIDC-IDRI. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX
- Access to the dataset via pylidc library
Matthew C. Hancock, Jerry F. Magnan. Lung nodule malignancy classification using only radiologist quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methods. SPIE Journal of Medical Imaging. Dec. 2016. http://dx.doi.org/10.1117/1.JMI.3.4.044504
- Core Network Based on Xception
Chollet, François. "Xception: Deep Learning with Depthwise Separable Convolutions." arXiv preprint arXiv:1610.02357 (2016).
Features:
- Contrastive Loss over L2 Metric Distance
- Custom DataGenerator:
- Data Augmentation (Mask Aware)
- Sample Weight