Computer-Aided Cancer Diagnosis via Machine Learning and Deep Learning: A comparative review. (arXiv:2210.11943v1 [eess.IV])

The past years have seen a considerable increase in cancer cases. However, a
cancer diagnosis is often complex and depends on the types of images provided
for analysis. It requires highly skilled practitioners but is often
time-consuming and error-prone. If Machine Learning and deep learning
algorithms have been widely used, a comprehensive review of the techniques used
from the pre-processing steps to the final prediction is lacking. With this
review, we aim to provide a comprehensive overview of the current …

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