Amit Sethi

Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images

2016 · Journal of Pathology Informatics

CONTEXT: Color normalization techniques for histology have not been empirically tested for their utility for computational pathology pipelines. AIMS: We compared two contemporary techniques for achieving a common intermediate goal - epithelial-stromal classification. SETTINGS AND …

Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers

2023 · arXiv (Cornell University)

Convolution Neural Networks (CNNs) are widely used in medical image analysis, but their performance degrade when the magnification of testing images differ from the training images. The inability of CNNs to generalize across magnification scales …