PGC-Net: A Novel Encoder-Decoder Network With Path Gradient Flow Control for Cell Counting
To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip connections are usually used to retain detailed features. However, skip connections introduce to the encoder multiple re...
| Published in: | IEEE Access |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10521609/ |
