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Human readers or radiologists routinely perform full-body multi-organ multi-disease detection and diagnosis in clinical practice, while most medical AI systems are built to focus on single organs with a narrow list of a few diseases.
Road maps for advancement of radiologic computer-aided detection in the 21st century
Ronald M Summers · 2003
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User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee, and Guido Gerig · 2006
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Computer-aided diagnosis in medical imaging: historical review, current status and future potential
Kunio Doi · 2007
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Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults
Aaron Sodickson, Pieter F Baeyens, Katherine P Andriole, Luciano M Prevedello, Richard D Nawfel, Richard Hanson, and Ramin Khorasani · 2009
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The national lung screening trial: overview and study design
National Lung Screening Trial Research Team et al · 2011
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer
Yan-qi Huang, Chang-hong Liang, Lan He, Jie Tian, Cui-shan Liang, Xin Chen, Ze-lan Ma, and Zai-yi Liu · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
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Lung nodule detection in ct using 3d convolutional neural networks
Xiaojie Huang, Junjie Shan, and Vivek Vaidya · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Universal cancer screening: revolutionary, rational, and realizable
David A Ahlquist · 2018
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Detection and localization of surgically resectable cancers with a multi-analyte blood test
Joshua D Cohen, Lu Li, Yuxuan Wang, Christopher Thoburn, Bahman Afsari, Ludmila Danilova, Christopher Douville, Ammar A Javed, Fay Wong, Austin Mattox, et al · 2018
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Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, Stanislav Nikolov, Nenad Tomasev, Sam Blackwell, Harry Askham, Xavier Glorot, Brendan O’Donoghue, Daniel Visentin, et al · 2018
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Knowledge-based collaborative deep learning for benign-malignant lung nodule classification on chest CT
Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael Fulham, and Weidong Cai · 2018
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Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning
Ke Yan, Xiaosong Wang, Le Lu, and Ronald M Summers · 2018
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Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P Harrison, Mohammadhadi Bagheri, and Ronald M Summers · 2018
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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Diego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J Reicher, Lily Peng, Daniel Tse, Mozziyar Etemadi, Wenxing Ye, Greg Corrado, et al · 2019
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Artificial intelligence in cancer imaging: clinical challenges and applications
Wenya Linda Bi, Ahmed Hosny, Matthew B Schabath, Maryellen L Giger, Nicolai J Birkbak, Alireza Mehrtash, Tavis Allison, Omar Arnaout, Christopher Abbosh, Ian F Dunn, et al · 2019
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The liver tumor segmentation benchmark (lits)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, et al · 2019
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Learning multi-class segmentations from single-class datasets
Konstantin Dmitriev and Arie E Kaufman · 2019
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Uldor: a universal lesion detector for ct scans with pseudo masks and hard negative example mining
You-Bao Tang, Ke Yan, Yu-Xing Tang, Jiamin Liu, Jin Xiao, and Ronald M Summers · 2019
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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K Fishman, and Alan L Yuille · 2019
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Holistic and comprehensive annotation of clinically significant findings on diverse CT images: learning from radiology reports and label ontology
Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, and Ronald M Summers · 2019
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Mulan: Multitask universal lesion analysis network for joint lesion detection, tagging, and segmentation
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, and Ronald M. Summers · 2019
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Automatic pulmonary nodule detection in CT scans using convolutional neural networks based on maximum intensity projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond NJ Veldhuis, Matthijs Oudkerk, and Peter MA Van Ooijen · 2019
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Prior-aware neural network for partially-supervised multi-organ segmentation
Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, and Alan L Yuille · 2019
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Unet++: Redesigning skip connections to exploit multiscale features in image segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2019
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Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma
Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K Fishman, and Alan L Yuille · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study
D Dong, M-J Fang, L Tang, X-H Shan, J-B Gao, F Giganti, R-P Wang, X Chen, X-X Wang, D Palumbo, et al · 2020
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
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Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
Kicky G van Leeuwen, Steven Schalekamp, Matthieu JCM Rutten, Bram van Ginneken, and Maarten de Rooij · 2021
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Max-deeplab: End-to-end panoptic segmentation with mask transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2021
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Effective pancreatic cancer screening on non-contrast CT scans via anatomy-aware transformers
Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan Yuille, Kai Cao, and Ling Zhang · 2021
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Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation
Yutong Xie, Jianpeng Zhang, Chunhua Shen, and Yong Xia · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A Landman, Jing Xiao, Le Lu, Chien-Hung Liao, and Adam P Harrison · 2020
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Semi-supervised multi-organ segmentation through quality assurance supervision
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R Savona, Richard G Abramson, et al · 2020
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Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention
Anne Marie Lennon, Adam H Buchanan, Isaac Kinde, Andrew Warren, Ashley Honushefsky, Ariella T Cohain, David H Ledbetter, Fred Sanfilippo, Kathleen Sheridan, Dillenia Rosica, et al · 2020
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A deep learning system for differential diagnosis of skin diseases
Yuan Liu, Ayush Jain, Clara Eng, David H Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, et al · 2020
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International evaluation of an ai system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi, et al · 2020
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Global health estimates 2020: Deaths by cause, age, sex, by country and by region, 2000–2019, 2020
WHO · 2020
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External and internal validation of a computer assisted diagnostic model for detecting multi-organ mass lesions in CT images
Lianyan Xu, Ke Yan, Le Lu, Weihong Zhang, Xu Chen, Xiaofei Huo, and Jingjing Lu · 2021
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Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in ct
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, and Le Lu · 2021
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Asymmetric 3d context fusion for universal lesion detection
Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, and Bingbing Ni · 2021
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Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang, Yutong Xie, Yong Xia, and Chunhua Shen · 2021
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Modality-aware mutual learning for multi-modal medical image segmentation
Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, and Zhiqiang He · 2021
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3d graph anatomy geometry-integrated network for pancreatic mass segmentation, diagnosis, and quantitative patient management
Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, and Ling Zhang · 2021
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The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, et al · 2022
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Transmix: Attend to mix for vision transformers
Jie-Neng Chen, Shuyang Sun, Ju He, Philip HS Torr, Alan Yuille, and Song Bai · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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A flexible three-dimensional heterophase computed tomography hepatocellular carcinoma detection algorithm for generalizable and practical screening
Chi-Tung Cheng, Jinzheng Cai, Wei Teng, Youjing Zheng, Yu-Ting Huang, Yu-Chao Wang, Chien-Wei Peng, Youbao Tang, Wei-Chen Lee, Ta-Sen Yeh, et al · 2022
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Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R Roth, and Daguang Xu · 2022
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Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study
Ahmed Hosny, Danielle S Bitterman, Christian V Guthier, Jack M Qian, Hannah Roberts, Subha Perni, Anurag Saraf, Luke C Peng, Itai Pashtan, Zezhong Ye, et al · 2022
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Artificial intelligence tool for assessment of indeterminate pulmonary nodules detected with CT
Roger Y Kim, Jason L Oke, Lyndsey C Pickup, Reginald F Munden, Travis L Dotson, Christina R Bellinger, Avi Cohen, Michael J Simoff, Pierre P Massion, Claire Filippini, et al · 2022
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Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image
Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N Metaxas, Guotai Wang, and Shaoting Zhang · 2022
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Value-added opportunistic CT screening: State of the art
Perry J Pickhardt · 2022
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Mining whole-lung information by artificial intelligence for predicting egfr genotype and targeted therapy response in lung cancer: a multicohort study
Shuo Wang, He Yu, Yuncui Gan, Zhangjie Wu, Encheng Li, Xiaohu Li, Jingxue Cao, Yongbei Zhu, Liusu Wang, Hui Deng, et al · 2022
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Totalsegmentator: robust segmentation of 104 anatomical structures in CT images
Jakob Wasserthal, Manfred Meyer, Hanns-Christian Breit, Joshy Cyriac, Shan Yang, and Martin Segeroth · 2022
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The felix project: Deep networks to detect pancreatic neoplasms
Yingda Xia, Qihang Yu, Linda Chu, Satomi Kawamoto, Seyoun Park, Fengze Liu, Jieneng Chen, Zhuotun Zhu, Bowen Li, Zongwei Zhou, et al · 2022
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Deep learning for fully automated prediction of overall survival in patients undergoing resection for pancreatic cancer: A retrospective multicenter study
Jiawen Yao, Kai Cao, Yang Hou, Jian Zhou, Yingda Xia, Isabella Nogues, Qike Song, Hui Jiang, Xianghua Ye, Jianping Lu, et al · 2022
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Effective opportunistic esophageal cancer screening using noncontrast CT imaging
Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, et al · 2022
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Deepcrc: Colorectum and colorectal cancer segmentation in CT scans via deep colorectal coordinate transform
Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, et al · 2022
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