Boosting Medical Image Classification with Segmentation Foundation Model
Author:
Affiliation:
1. University of Notre Dame,Notre Dame,IN,USA,46556
2. Tianjin University,Tianjin,China,300072
3. Nanjing University of Science and Technology,Nanjing,China,210094
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635429.pdf?arnumber=10635429
Reference23 articles.
1. Segment Anything
2. Segment anything model (SAM) for digital pathology: Assess zero-shot segmentation on whole slide imaging;Deng,2023
3. Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines
4. Segment anything model for medical images?
5. Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model
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