CNN-Based Automatic Urinary Particles Recognition

6 Mar 2018 Rui Kang Yixiong Liang Chunyan Lian Yuan Mao

The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases. Manual urine sediment examination is labor-intensive, subjective and time-consuming, and the traditional automatic algorithms often extract the hand-crafted features for recognition... (read more)

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