Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images

Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening

(2018) J. Melendez et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

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

(2017) Paras Lakhani et al.   RADIOLOGY

Breast cancer classification using deep belief networks

(2016) Ahmed M. Abdel-Zaher et al.   EXPERT SYSTEMS WITH APPLICATIONS

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Breast mass classification in digital mammography based on extreme learning machine

(2016) Weiying Xie et al.   NEUROCOMPUTING

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Automatic Tuberculosis Screening Using Chest Radiographs

(2013) Stefan Jaeger et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Novel coarse-to-fine dual scale technique for tuberculosis cavity detection in chest radiographs

(2013) Tao Xu et al.   EURASIP Journal on Image and Video Processing

Treatment of Tuberculosis with Rifamycin-containing Regimens in Immune-deficient Mice

(2011) Ming Zhang et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Multidrug resistance after inappropriate tuberculosis treatment: a meta-analysis

(2011) Marieke J. van der Werf et al.   EUROPEAN RESPIRATORY JOURNAL

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

(2009) Nicolas Pinto et al.   PLoS Computational Biology