Web: http://arxiv.org/abs/2201.11246

Jan. 28, 2022, 2:10 a.m. | Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. P

cs.CV updates on arXiv.org arxiv.org

The lack of well-annotated datasets in computational pathology (CPath)
obstructs the application of deep learning techniques for classifying medical
images. %Since pathologist time is expensive, dataset curation is intrinsically
difficult. Many CPath workflows involve transferring learned knowledge between
various image domains through transfer learning. Currently, most transfer
learning research follows a model-centric approach, tuning network parameters
to improve transfer results over few datasets. In this paper, we take a
data-centric approach to the transfer learning problem and examine the
existence …

arxiv computational cross

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