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Deep learning based neural networks have gained popularity for a variety ofbiomedical imaging applications. In the last few years several works have shownthe use of these methods for colon cancer detection and the early results havebeen promising. These methods can potentially be utilized to assist doctor'sand may help in identifying the number of lesions or abnormalities in adiagnosis session. From our literature survey we found out that there is a lackof publicly available labeled data. Thus, as part of this work, we have aimedat open sourcing a dataset which contains annotations of polyps and ulcers.This is the first dataset that's coming from India containing polyp and ulcerimages. The dataset can be used for detection and classification tasks. We alsoevaluated our dataset with several popular deep learning object detectionmodels that's trained on large publicly available datasets and found outempirically that the model trained on one dataset works well on our datasetthat has data being captured in a different acquisition device.

Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images