Concepedia

Gray level co-occurrence matrix and random forest based acute lymphoblastic leukemia detection

Sonali Mishra, Banshidhar Majhi, Pankaj Kumar, Lokesh Kumar Sharma

Biomedical Signal Processing and Control · 2016 · 158 citations · 21 references

Concepts

MedicineBioinformaticsOncologyBiomedical ImagingCancer DetectionCancer Early DetectionComputer-aided DiagnosisEarly Cancer DetectionMedical Image AnalysisTumor DetectionCo-occurrence Matrix FactorizationComputer-aided Tumor DiagnosisGray-level Co-occurrence MatricesImage-based Tumor DetectionTumor Candidate Detection

References

21

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Textural Features for Image Classification

Robert M. Haralick, I. Dinstein · IEEE Transactions on Systems Man and Cybernetics · 1973 · 22.5K citations

Computing, Earth Sciences, Computer Vision +16

Cancer statistics, 2013

Rebecca L. Siegel, Deepa Naishadham, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2013 · 11.9K citations · Full text

Medicine, Oncology, Cancer Epidemiology +16

Proposals for the Classification of the Acute Leukaemias F<scp>rench</scp>‐A<scp>merican</scp>‐B<scp>ritish</scp> (FAB) C<scp>o‐operative</scp> G<scp>roup</scp>

John M. Bennett, Daniel Catovsky, Marie‐Theregse Daniel et al. · British Journal of Haematology · 1976 · 5.6K citations

Medicine, Hematology, Pathology +17

Probabilistic Principal Component Analysis

Michael E. Tipping, Chris Bishop · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1999 · 3.7K citations · Full text

Education, Biostatistics, Bayesian Data Analysis +11