Concepedia

Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy

Mohammad Momeny, Ali Asghar Neshat, Abdolmajid Gholizadeh, Ahad Jafarnezhad, Elham Rahmanzadeh, Mahmoud Marhamati, Bagher Moradi, Ali Ghafoorifar, Yudong Zhang

Computers in Biology and Medicine · 2021 · 40 citations · 26 references

Concepts

Mycobacterium Tuberculosis ImageImage ClassificationMultiple Instance LearningMachine VisionImage AnalysisMachine LearningDeep LearningPattern RecognitionEngineeringFeature LearningConvolutional Neural NetworkComputer-aided DiagnosisGeneralized Deep CnnMedical Image ComputingGreedy AutoaugmentComputer Vision

References

26

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 27.3K citations · Full text

Engineering, Machine Learning, Data Mining +13

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Sergey Ioffe, Christian Szegedy · arXiv (Cornell University) · 2015 · 24.2K citations · Full text

Data Augmentation, Deep Neural Networks, Machine Vision +15

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2015 · 18.4K citations

Convolutional Neural Network, Engineering, Machine Learning +18

K-nearest neighbor

L. E. Peterson · Scholarpedia · 2009 · 2.3K citations · Full text

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

Paras Lakhani, Baskaran Sundaram · Radiology · 2017 · 1.7K citations