2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans

Yan Wang
Yan Wang
Wei Shen
Wei Shen
Elliot K Fishman
Elliot K Fishman

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, pp. 43-67, 2019.

Cited by: 0|Views28

Abstract:

Deep neural networks have been widely adopted for automatic organ segmentation from abdominal CT scans. However, the segmentation accuracy of small organs (e.g., pancreas) or neoplasms (e.g., pancreatic cyst) is sometimes below satisfaction, arguably because deep networks are easily disrupted by the complex and variable background regions...More

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