Rethinking Transfer Learning for Medical Image Classification

• Published in: arXiv.org
• Main Authors: Le, Peng, Liang, Hengyue, Luo, Gaoxiang, Li, Taihui, Sun, Ju
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 16.12.2023
• Subjects: Artificial neural networks; Classification; Image classification; Learning; Medical imaging

Transfer learning (TL) from pretrained deep models is a standard practice in modern medical image classification (MIC). However, what levels of features to be reused are problem-dependent, and uniformly finetuning all layers of pretrained models may be suboptimal. This insight has partly motivated t...