Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey

2 November 2020

Papers citing "Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey"

44 / 44 papers shown

Title
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 236 8,451 0 19 Jun 2019
Segmentation is All You Need Zehua Cheng Yuxiang Wu Zhenghua Xu Thomas Lukasiewicz Weiyan Wang 55 20 0 30 Apr 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 135 1,916 0 23 Apr 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 260 3,747 0 09 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard W. Bulten Péter Bándi Jeffrey Hoven Rob van de Loo J. Lotz Nick Weiss Jeroen van der Laak Bram van Ginneken C. Hulsbergen–van de Kaa G. Litjens 48 150 0 17 Aug 2018
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting Markus Foote Blake E. Zimmerman A. Sawant S. Joshi 130 15 0 22 Jul 2018
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction Po-Yu Kao Thuyen Ngo Angela Zhang Jefferson W. Chen B. S. Manjunath 51 84 0 20 Jul 2018
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks S. Rao 46 26 0 04 Jul 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture D. Nguyen X. Jia David Sher Mu-Han Lin Zohaib Iqbal Hui Liu Steve B. Jiang AI4CE 60 276 0 25 May 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 136 21,488 0 08 Apr 2018
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein 143 495 0 28 Feb 2018
Classification of Breast Cancer Histology using Deep Learning Aditya Golatkar Deepak Anand A. Sethi 43 113 0 22 Feb 2018
Deep learning in radiology: an overview of the concepts and a survey of the state of the art Maciej A. Mazurowski Mateusz Buda Ashirbani Saha Mustafa R. Bashir MedIm AI4CE 51 437 0 10 Feb 2018
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans Zhihui Guo Ling Zhang Le Lu M. Bagheri Ronald M. Summers Milan Sonka Jianhua Yao 69 49 0 25 Jan 2018
Detection-aided liver lesion segmentation using deep learning Míriam Bellver Kevis-Kokitsi Maninis Jordi Pont-Tuset Xavier Giró-i-Nieto Jordi Torres Luc Van Gool MedIm 95 49 0 29 Nov 2017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Jingyu Sun Matthew Sinclair ... Martin Rajchl Matthew C. H. Lee Bernhard Kainz Daniel Rueckert Ben Glocker 3DV AAML OOD 67 436 0 04 Nov 2017
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning D. Nguyen T. Long X. Jia W. Lu X. Gu Zohaib Iqbal Steve B. Jiang 62 47 0 26 Sep 2017
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation Andrew Beers Ken Chang James M. Brown Emmett Sartor C. P. Mammen Elizabeth R Gerstner Bruce Rosen Jayashree Kalpathy-Cramer 54 49 0 09 Sep 2017
Deep Learning for Medical Image Analysis Mina Rezaei Haojin Yang Christoph Meinel 77 2,072 0 17 Aug 2017
Detecting and classifying lesions in mammograms with Deep Learning D. Ribli A. Horváth Z. Unger P. Pollner I. Csabai MedIm 67 586 0 26 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 803 132,454 0 12 Jun 2017
Personalized Pancreatic Tumor Growth Prediction via Group Learning Ling Zhang Le Lu Ronald M. Summers E. Kebebew Jianhua Yao 33 19 0 01 Jun 2017
Deep Learning for Medical Image Processing: Overview, Challenges and Future M. I. Razzak S. Naz Ahmad Zaib 54 1,013 0 22 Apr 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 369 27,253 0 20 Mar 2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks P. Christ Florian Ettlinger Felix Grün M. Elshaer Jana Lipkova ... Julian Holch Wieland Sommer R. Braren V. Heinemann Bjoern Menze MedIm 65 330 0 20 Feb 2017
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation M. Drozdzal Gabriel Chartrand Eugene Vorontsov Lisa Di-Jorio A. Tang Adriana Romero Yoshua Bengio C. Pal Samuel Kadoury MedIm 53 219 0 16 Feb 2017
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation Xiaomei Zhao Yihong Wu Guidong Song Zhenye Li Yazhuo Zhang Yong-Xian Fan MedIm 56 674 0 15 Feb 2017
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 183 15,641 0 25 Dec 2016
The Importance of Skip Connections in Biomedical Image Segmentation M. Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury C. Pal MedIm 88 1,047 0 14 Aug 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 750 37,895 0 20 May 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 160 3,062 0 18 Mar 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 238 365 0 26 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,821 0 02 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 733 37,033 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 533 62,409 0 04 Jun 2015
A Critical Review of Recurrent Neural Networks for Sequence Learning Zachary Chase Lipton John Berkowitz Charles Elkan 122 2,350 0 29 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Fast R-CNN Ross B. Girshick ObjD 312 25,087 0 30 Apr 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 494 43,698 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 291 26,223 0 11 Nov 2013