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Accurate segmentation of ovarian tumors from medical images is crucial for early diagnosis, treatment planning, and patient management.
Histologic subtypes of ovarian carcinoma: an overview
Robert A Soslow · 2008
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Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal ct
Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, and Ronald M Summers · 2014
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Inter-and intra-observer variability of an anatomical landmark-based, manual segmentation method by mri for the assessment of skeletal muscle fat content and area in subjects from the general population
Lena Sophie Kiefer, Jana Fabian, Roberto Lorbeer, Jürgen Machann, Corinna Storz, Mareen Sarah Kraus, Elke Wintermeyer, Christopher Schlett, Frank Roemer, Konstantin Nikolaou, et al · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Earlier work this paper cites.
Emerging applications of artificial intelligence in neuro-oncology
Jeffrey D Rudie, Andreas M Rauschecker, R Nick Bryan, Christos Davatzikos, and Suyash Mohan · 2019
Earlier work this paper cites.
Evaluation of segmentation algorithms for optical coherence tomography images of ovarian tissue
Travis W Sawyer, Photini FS Rice, David M Sawyer, Jennifer W Koevary, and Jennifer K Barton · 2019
Earlier work this paper cites.
Ovarian cancer: an update on imaging in the era of radiomics
S Nougaret, M Tardieu, HA Vargas, C Reinhold, S Vande Perre, N Bonanno, E Sala, and I Thomassin-Naggara · 2019
Earlier work this paper cites.
Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, and Freddie Bray · 2021
Cited alongside, same era.
Transfuse: Fusing transformers and cnns for medical image segmentation
Yundong Zhang, Huiye Liu, and Qiang Hu · 2021
Cited alongside, same era.
Transunet: Transformers make strong encoders for medical image segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou · 2021
Cited alongside, same era.
Utnet: a hybrid transformer architecture for medical image segmentation
Yunhe Gao, Mu Zhou, and Dimitris N Metaxas · 2021
Cited alongside, same era.
Multi-scale graph learning for ovarian tumor segmentation from ct images
Zihang Liu, Chunhui Zhao, Yan Lu, Yu Jiang, and Jingtian Yan · 2022
Cited alongside, same era.
Uncertainty-aware refinement framework for ovarian tumor segmentation in cect volume
Jiaqi Hu, Zhiming Cui, Xiao Zhang, Jiadong Zhang, Yuyan Ge, Honghe Zhang, Yan Lu, and Dinggang Shen · 2023
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Improving the segmentation accuracy of ovarian-tumor ultrasound images using image inpainting
Lijiang Chen, Changkun Qiao, Meijing Wu, Linghan Cai, Cong Yin, Mukun Yang, Xiubo Sang, and Wenpei Bai · 2023
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Deep learning-based segmentation of epithelial ovarian cancer on t2-weighted magnetic resonance images
Dingdu Hu, Junming Jian, Yongai Li, and Xin Gao · 2023
Later among the works it cites.
An anatomy-aware framework for automatic segmentation of parotid tumor from multimodal mri
Yifan Gao, Yin Dai, Fayu Liu, Weibing Chen, and Lifu Shi · 2023
Later among the works it cites.
Comprehensive study on semantic segmentation of ovarian tumors from ultrasound images
Thi-Loan Pham, Van-Hung Le, Thanh-Hai Tran, and Duy Hai Vu · 2023
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Computed tomographic radiomics in differentiating histologic subtypes of epithelial ovarian carcinoma
Mandi Wang, Jose AU Perucho, Yangling Hu, Moon Hyung Choi, Lujun Han, Esther MF Wong, Grace Ho, Xiaoling Zhang, Philip Ip, and Elaine YP Lee · 2022
Cited alongside, same era.
Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang, and Lijiang Chen · 2022
Cited alongside, same era.
Probabilistic modeling of inter-and intra-observer variability in medical image segmentation
Arne Schmidt, Pablo Morales-Álvarez, and Rafael Molina · 2023
Cited alongside, same era.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick · 2023
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Desam: Decoupling segment anything model for generalizable medical image segmentation
Yifan Gao, Wei Xia, Dingdu Hu, and Xin Gao · 2023
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