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Bag of Visual Words (BoVW) with Deep Features -- Patch Classification Model for Limited Dataset of Breast Tumours. (arXiv:2202.10701v1 [cs.CV])
Feb. 23, 2022, 2:10 a.m. | Suvidha Tripathi, Satish Kumar Singh, Lee Hwee Kuan
cs.CV updates on arXiv.org arxiv.org
Currently, the computational complexity limits the training of high
resolution gigapixel images using Convolutional Neural Networks. Therefore,
such images are divided into patches or tiles. Since, these high resolution
patches are encoded with discriminative information therefore; CNNs are trained
on these patches to perform patch-level predictions. However, the problem with
patch-level prediction is that pathologist generally annotates at image-level
and not at patch level. Due to this limitation most of the patches may not
contain enough class-relevant features. Through this …
More from arxiv.org / cs.CV updates on arXiv.org
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