Machine Vision vs Deep Learning in Cancer Detection

Explore the battle between machine vision and deep learning in cancer diagnosis through this informative talk. Delve into the advantages and limitations of convolutional neural networks in computer vision, and learn about the challenges of obtaining labeled datasets for training. Discover how computer-aided methods can support medical research and diagnosis by improving objectivity, repeatability, and analysis speed. Gain insights into a novel method for quantifying cells in whole-slide images of breast cancer tissue samples using the CHISEL system. Understand the benefits of multi-algorithmic processing and parameterization in adapting to diverse imaging data. Examine the potential impact of these technologies on cancer diagnosis, prognosis, and understanding disease mechanisms.