Classification of acute myeloid leukemia M1 and M2 subtypes using machine learning

Cancer Statistics, 2021

Rebecca L. Siegel, Kimberly D. Miller, Hannah E. Fuchs et al. · CA A Cancer Journal for Clinicians · 2021 · 17.4K citations · Full text

Medicine, Oncology, Cancer Epidemiology +16

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

C. L. Philip Chen, Zhulin Liu · IEEE Transactions on Neural Networks and Learning Systems · 2017 · 1.9K citations

Computing, Computer Science, Feature Engineering +7

The CPTAC Data Portal: A Resource for Cancer Proteomics Research

Nathan Edwards, Mauricio Oberti, Ratna R. Thangudu et al. · Journal of Proteome Research · 2015 · 594 citations

Life Sciences, Molecular Biology, Oncology +17

Deep Learning in Medicine—Promise, Progress, and Challenges

Fei Wang, Lawrence P. Casalino, Dhruv Khullar · JAMA Internal Medicine · 2018 · 488 citations

Medicine, Neurology, Oncology +6

NCCN Guidelines Insights: Acute Myeloid Leukemia, Version 2.2021

Daniel A. Pollyea, Dale L. Bixby, Alexander E. Perl et al. · Journal of the National Comprehensive Cancer Network · 2021 · 326 citations · Full text

Medicine, Hematology, Oncology +14