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Found 2 papers, 1 papers with code
Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach
Methods: This study used publicly available images of osteosarcoma cross-sections to analyze and compare the performance of state-of-the-art deep neural networks for histopathological evaluation of osteosarcomas.
CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for Very Small Resolution Medical Image Classification
However, an inherent side-effect of this is that high-level features, produced at the deep end of the network, are always captured in low resolution feature maps.
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