Overlapping Chromosome Segmentation using U-Net: Convolutional Networks with Test Time Augmentation

Volume: 159, Pages: 524 - 533
Published: Jan 1, 2019
Abstract
An effective human metaphase chromosome analysis system can be used by doctors as a second opinion during diagnosis. Segmentation is necessary in developing this system to identify and distinguish between individual chromosomes. The main challenge in chromosome segmentation is the separation of overlapping chromosomes. Deep convolutional neural networks have been widely used for medical segmentation, especially with U-Net. This study...
Paper Details
Title
Overlapping Chromosome Segmentation using U-Net: Convolutional Networks with Test Time Augmentation
Published Date
Jan 1, 2019
Volume
159
Pages
524 - 533
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