Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification

We conducted two analyses by comparing the transferability of a traditionally transfer-learned CNN (TL) to that of a CNN fine-tuned with an unrelated set of medical images (mammograms in this study) first and then fine-tuned a second time using TL, which we call the cross-organ, cross-modality trans...

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Bibliographic Details
Main Authors: Juhun Lee, Robert M. Nishikawa
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9262863/