Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification

Author:

Bayasi NourhanORCID,Hamarneh GhassanORCID,Garbi RafeefORCID

Publisher

Springer International Publishing

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Network Pruning for Real-Time Polyp Segmentation;Medical Image Understanding and Analysis;2023-12-02

2. Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

3. A survey, review, and future trends of skin lesion segmentation and classification;Computers in Biology and Medicine;2023-03

4. MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets;Lecture Notes in Computer Science;2023

5. Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification;Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops;2023

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