July 29, 2022, 1:10 a.m. | Sai Mattapalli, Rishi Athavale

cs.LG updates on arXiv.org arxiv.org

Due to morphological similarity at the microscopic level, making an accurate
and time-sensitive distinction between blood cells affected by Acute
Lymphocytic Leukemia (ALL) and their healthy counterparts calls for the usage
of machine learning architectures. However, three of the most common models,
VGG, ResNet, and Inception, each come with their own set of flaws with room for
improvement which demands the need for a superior model. ALLNet, the proposed
hybrid convolutional neural network architecture, consists of a combination of
the …

arxiv cells convolutional neural network cv diagnosis hybrid network neural network

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