Building Computer-Aided Diagnostic Models for Biopsy Images Using Minimally Curated Datasets

Joseph Vincent Pulido
Convolutional neural networks (CNNs) perform well on many biopsy datasets and show promising signs of becoming part of the process to augment physicians' workflow to diagnose diseases. Training these medical models typically involves the tedious task of curating large-scale medical datasets which involves activities like collecting, storing, and annotating data. In general, these data curation tasks are usually the most time consuming and resource intensive portion of the model development processes. This cost is exacerbated...
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