MSKD: Structured knowledge distillation for efficient medical image segmentation

Libo Zhao; Xiaolong Qian; Yinghui Guo; Jiaqi Song; Jinbao Hou; Jun Gong

doi:10.1016/j.compbiomed.2023.107284

ScienceGate Book Chapters

JOURNAL ARTICLE

MSKD: Structured knowledge distillation for efficient medical image segmentation

Libo Zhao Xiaolong Qian Yinghui Guo Jiaqi Song Jinbao Hou Jun Gong

Year: 2023 Journal: Computers in Biology and Medicine Vol: 164 Pages: 107284-107284 Publisher: Elsevier BV

DOI: 10.1016/j.compbiomed.2023.107284

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Segmentation Artificial intelligence Medical diagnosis Machine learning Exploit Artificial neural network Image segmentation Distillation Data mining Pattern recognition (psychology)

Metrics

Cited By

4.55

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

MSKD: Structured knowledge distillation for efficient medical image segmentation

Metrics

Citation History

Topics

Related Documents

Efficient Medical Image Segmentation Based on Knowledge Distillation

Lightweight TransUNet with knowledge distillation for efficient medical image segmentation

Towards Efficient Medical Image Segmentation Via Boundary-Guided Knowledge Distillation

Medical Image Segmentation Approach via Transformer Knowledge Distillation

Exploring Generalizable Distillation for Efficient Medical Image Segmentation