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The Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection Classifiers are a collection of projects that use computer vision to classify Acute Myeloid & Lymphoblastic Leukemia in unseen images. The projects include classifiers made with Tensorflow, Caffe, FastAI, Intel Movidius (NCS & NCS2), Keras, OpenVino and Python/Java/C++/R classifiers.
Home Page: https://www.petermossamlallresearch.com/research/
License: MIT License