Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray
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Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images

10 December 2020

Subrata Chakraborty

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Papers citing "Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images"

19 / 19 papers shown

Title
Rotate to Attend: Convolutional Triplet Attention Module Diganta Misra Trikay Nalamada Ajay Uppili Arasanipalai Qibin Hou ViT 3DPC 74 602 0 06 Oct 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 84 164 0 25 May 2020
A scoping review of transfer learning research on medical image analysis using ImageNet M. Morid Alireza Borjali G. Fiol 78 367 0 27 Apr 2020
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect Bo Liu Wenhao Chi Xinran Li Peng Li W. Liang Haiping Liu Wei Wang Jianxing He 63 69 0 23 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 120 2,605 0 21 Jan 2019
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach Worawate Ausawalaithong S. Marukatat Arjaree Thirach Theerawit Wilaiprasitporn MedIm 41 147 0 31 Aug 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 55 122 0 21 Mar 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks Sebastian Gündel Sasa Grbic Bogdan Georgescu S. Kevin Zhou L. Ritschl A. Meier Dorin Comaniciu 66 193 0 12 Mar 2018
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 78 335 0 28 Oct 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 719 10,834 0 19 Feb 2017
Grad-CAM: Why did you say that? Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra FAtt 92 476 0 22 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 527 10,358 0 16 Nov 2016
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 213 6,206 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 870 36,910 0 25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 354 8,190 0 13 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 499 43,717 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014

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