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Inevitable domain and task discrepancies in real-world scenarios can impair the generalization performance of the pre-trained deep models for medical data.
Catastrophic forgetting in connectionist networks
Robert M French · 1999
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Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer
Juan Silva, Aymeric Histace, Olivier Romain, Xavier Dray, and Bertrand Granado · 2014
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Joint training of a convolutional network and a graphical model for human pose estimation
Jonathan J Tompson, Arjun Jain, Yann LeCun, and Christoph Bregler · 2014
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Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
Jorge Bernal, F Javier Sánchez, Gloria Fernández-Esparrach, Debora Gil, Cristina Rodríguez, and Fernando Vilariño · 2015
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Training labels for hippocampal segmentation based on the eadc-adni harmonized hippocampal protocol
Marina Boccardi, Martina Bocchetta, Félix C Morency, D Louis Collins, Masami Nishikawa, Rossana Ganzola, Michel J Grothe, Dominik Wolf, Alberto Redolfi, Michela Pievani, et al · 2015
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Automated polyp detection in colonoscopy videos using shape and context information
Nima Tajbakhsh, Suryakanth R Gurudu, and Jianming Liang · 2015
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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas De Bel, Moira SN Berens, Cas Van Den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, et al · 2017
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A benchmark for endoluminal scene segmentation of colonoscopy images
David Vázquez, Jorge Bernal, F Javier Sánchez, Gloria Fernández-Esparrach, Antonio M López, Adriana Romero, Michal Drozdzal, and Aaron Courville · 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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Patentbert: Patent classification with fine-tuning a pre-trained bert model
Jieh-Sheng Lee and Jieh Hsiang · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel · 2019
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Methods for segmentation and classification of digital microscopy tissue images
Quoc Dang Vu, Simon Graham, Tahsin Kurc, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Jayashree Kalpathy-Cramer, Tianhao Zhao, et al · 2019
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Joint learning of neural networks via iterative reweighted least squares
Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, and Yuan Li · 2019
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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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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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Focl: Feature-oriented continual learning for generative models
Qicheng Lao, Mehrzad Mortazavi, Marzieh S. Tahaei, Francis Dutil, T. Fevens, and Mohammad Havaei · 2020
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Rethinking computer-aided tuberculosis diagnosis
Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, and Ming-Ming Cheng · 2020
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Exploiting cloze-questions for few-shot text classification and natural language inference
Timo Schick and Hinrich Schütze · 2020
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Acquiring knowledge from pre-trained model to neural machine translation
Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, and Weihua Luo · 2020
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Multimae: Multi-modal multi-task masked autoencoders
Roman Bachmann, David Mizrahi, Andrei Atanov, and Amir Zamir · 2022
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Bootstrapped masked autoencoders for vision bert pretraining
Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, and Nenghai Yu · 2022
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Dytox: Transformers for continual learning with dynamic token expansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, and Matthieu Cord · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Grounded language-image pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al · 2022
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Medical image understanding with pretrained vision language models: A comprehensive study
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Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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The dfuc 2020 dataset: Analysis towards diabetic foot ulcer detection
Bill Cassidy, Neil D Reeves, Joseph M Pappachan, David Gillespie, Claire O’Shea, Satyan Rajbhandari, Arun G Maiya, Eibe Frank, Andrew JM Boulton, David G Armstrong, et al · 2021
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Multi-task learning for thyroid nodule segmentation with thyroid region prior
Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, and Guanbin Li · 2021
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A comprehensive study on colorectal polyp segmentation with resunet++, conditional random field and test-time augmentation
Debesh Jha, Pia H Smedsrud, Dag Johansen, Thomas de Lange, Håvard D Johansen, Pål Halvorsen, and Michael A Riegler · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
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A two-stream continual learning system with variational domain-agnostic feature replay
Qicheng Lao, Xiangxi Jiang, Mohammad Havaei, and Yoshua Bengio · 2021
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Neounet: Towards accurate colon polyp segmentation and neoplasm detection
Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy, and Dinh Viet Sang · 2021
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Ziyuan Qin, Huahui Yi, Qicheng Lao, and Kang Li · 2022
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Clip models are few-shot learners: Empirical studies on vqa and visual entailment
Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, and Furu Wei · 2022
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Singan-seg: Synthetic training data generation for medical image segmentation
Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven A Hicks, Hugo L Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, and Michael A Riegler · 2022
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Clip model is an efficient continual learner
Vishal Thengane, Salman Khan, Munawar Hayat, and Fahad Khan · 2022
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Three types of incremental learning
Gido M van de Ven, Tinne Tuytelaars, and Andreas S Tolias · 2022
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Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, and Hongxia Yang · 2022
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Foundation models in healthcare: Opportunities, biases and regulatory prospects in europe
Malwina Anna Wójcik · 2022
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Unified contrastive learning in image-text-label space
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, and Jianfeng Gao · 2022
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