FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation-Reference-Cited by-同舟云学术

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FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Xu Yingying¹,Wang Yinjie¹,Chen Qingqing²,Hu Hongjie²,Huang Huimin³,Lin Lanfen³,Chen Yen-Wei⁴,Li Jingsong¹,Lin Hongxiang¹

Affiliation:

1. Zhejiang Lab,Hangzhou,China

2. Sir Run Run Shaw Hospital, Zhejiang University,Hangzhou,China

3. College of Computer Science and Technology, Zhejiang University,Hangzhou,China

4. College of Information Science and Engineering, Ritsumeikan University,Shiga,Japan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635890.pdf?arnumber=10635890

Reference18 articles.

1. Efficient Two-stream Action Recognition on FPGA

2. A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images

3. Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification

4. Optimization-Based Post-Training Quantization With Bit-Split and Stitching

5. Rethinking the Inception Architecture for Computer Vision

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