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Medical image segmentation has immense clinical applicability but remains a challenge despite advancements in deep learning.
Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, and Kunio Doi · 2000
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Introduction to the dirichlet distribution and related processes
Andrew Béla Frigyik, Amol Kapila, and Maya R. Gupta · 2010
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Interpretation and fusion of hyper opinions in subjective logic
Audun Jøsang and Robin Hankin · 2012
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Automatic segmentation of skin lesions from dermatological photographs using a joint probabilistic texture distinctiveness approach
J Glaister, A Wong, and D A. Clausi · 2014
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Concrete problems in ai safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, and Dan Mané · 2016
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Agreement among ophthalmologists in marking the optic disc and optic cup in fundus images
Ahmed Almazroa, Sami Alodhayb, Essameldin Osman, Eslam Ramadan, Mohammed Hummadi, Mohammed Dlaim, Muhannad Alkatee, Kaamran Raahemifar, and Vasudevan Lakshminarayanan · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Subjective Logic: A formalism for reasoning under uncertainty
Audun Jsang · 2018
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Transfusion: Understanding transfer learning for medical imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, and Samy Bengio · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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Kvasir-seg: A segmented polyp dataset
Debesh Jha, Pia H Smedsrud, Michael A Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, and Håvard D Johansen · 2020
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Visual prompting via image inpainting
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, and Alexei Efros · 2022
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A survey for in-context learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui · 2022
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Segnext: Rethinking convolutional attention design for semantic segmentation
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, and Shi-Min Hu · 2022
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Trusted multi-view classification with dynamic evidential fusion
Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou · 2022
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Minvis: A minimal video instance segmentation framework without video-based training
De-An Huang, Zhiding Yu, and Anima Anandkumar · 2022
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A reliable and interpretable framework of multi-view learning for liver fibrosis staging
Zheyao Gao, Yuanye Liu, Fuping Wu, NanNan Shi, Yuxin Shi, and Xiahai Zhuang · 2023
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Accuracy of segment-anything model (sam) in medical image segmentation tasks
Sheng He, Rina Bao, Jingpeng Li, P Ellen Grant, and Yangming Ou · 2023
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Label-free liver tumor segmentation
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L Yuille, and Zongwei Zhou · 2023
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Segment anything is not always perfect: An investigation of sam on different real-world applications
Wei Ji, Jingjing Li, Qi Bi, Wenbo Li, and Li Cheng · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, and Fisher Yu · 2022
Cited alongside, same era.
Panoptic segformer: Delving deeper into panoptic segmentation with transformers
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, Ping Luo, and Tong Lu · 2022
Cited alongside, same era.
Amodal panoptic segmentation
Rohit Mohan and Abhinav Valada · 2022
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Class-aware adversarial transformers for medical image segmentation
Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, and James Duncan · 2022
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Rethinking semantic segmentation: A prototype view
Tianfei Zhou, Wenguan Wang, Ender Konukoglu, and Luc Van Gool · 2022
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Bidirectional copy-paste for semi-supervised medical image segmentation
Yunhao Bai, Duowen Chen, Qingli Li, Wei Shen, and Yan Wang · 2023
Cited alongside, same era.
Unsupervised domain adaptation for medical image segmentation by selective entropy constraints and adaptive semantic alignment
Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, and Zongyuan Ge · 2023
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Polyp-sam: Transfer sam for polyp segmentation
Yuheng Li, Mingzhe Hu, and Xiaofeng Yang · 2023
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MICCAI FLARE22 Challenge Dataset (50 Labeled Abdomen CT Scans), 2023
MA · 2023
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Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, , and Bo Wang · 2023
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Segment anything model for medical image analysis: an experimental study
Maciej A Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, and Yixin Zhang · 2023
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Rethinking data augmentation for single-source domain generalization in medical image segmentation
Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, and Jie Sun · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Chatdoctor: A medical chat model fine-tuned on llama model using medical domain knowledge
Li Yunxiang, Li Zihan, Zhang Kai, Dan Ruilong, and Zhang You · 2023
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