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WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
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WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Luo, Xiangde ; Liao, Wenjun ; Xiao, Jianghong ; Chen, Jieneng ; Song, Tao ; Zhang, Xiaofan ; Li, Kang ; Metaxas, Dimitris N. ; Wang, Guotai ; Zhang, Shaoting

Medical image analysis, 2022-11, Vol.82, p.102642-102642, Article 102642 [Periódico revisado por pares]

Elsevier B.V

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2
DRINet for Medical Image Segmentation
DRINet for Medical Image Segmentation
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DRINet for Medical Image Segmentation

Chen, Liang ; Bentley, Paul ; Mori, Kensaku ; Misawa, Kazunari ; Fujiwara, Michitaka ; Rueckert, Daniel

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2453-2462

United States: IEEE

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3
High-resolution 3D abdominal segmentation with random patch network fusion
High-resolution 3D abdominal segmentation with random patch network fusion
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High-resolution 3D abdominal segmentation with random patch network fusion

Tang, Yucheng ; Gao, Riqiang ; Lee, Ho Hin ; Han, Shizhong ; Chen, Yunqiang ; Gao, Dashan ; Nath, Vishwesh ; Bermudez, Camilo ; Savona, Michael R. ; Abramson, Richard G. ; Bao, Shunxing ; Lyu, Ilwoo ; Huo, Yuankai ; Landman, Bennett A.

Medical image analysis, 2021-04, Vol.69, p.101894-101894, Article 101894 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Learning from dispersed manual annotations with an optimized data weighting policy
Learning from dispersed manual annotations with an optimized data weighting policy
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Learning from dispersed manual annotations with an optimized data weighting policy

Tang, Yucheng ; Gao, Riqiang ; Chen, Yunqiang ; Gao, Dashan ; Savona, Michael R ; Abramson, Richard G ; Bao, Shunxing ; Huo, Yuankai ; Landman, Bennett A

Journal of medical imaging (Bellingham, Wash.), 2020-07, Vol.7 (4), p.044002-044002 [Periódico revisado por pares]

United States: Society of Photo-Optical Instrumentation Engineers

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5
A Combined Spatial and Frequency Based Texture Model for Organ Segmentation in Computed Tomography Examinations
A Combined Spatial and Frequency Based Texture Model for Organ Segmentation in Computed Tomography Examinations
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A Combined Spatial and Frequency Based Texture Model for Organ Segmentation in Computed Tomography Examinations

Jafari, Aref ; Hassanpour, Reza ; Shahbahrami, Asadollah ; Wong, Stephan

Journal of medical imaging and health informatics, 2014-04, Vol.4 (2), p.230-236

American Scientific Publishers

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6
Hyperspectral Image segmentation and its application in abdominal surgery
Hyperspectral Image segmentation and its application in abdominal surgery
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Hyperspectral Image segmentation and its application in abdominal surgery

Akbari, Hamed ; Kosugi, Yukio ; Kojima, Kazuyuki ; Tanaka, Naofumi

International journal of functional informatics and personalised medicine, 2009, Vol.2 (2), p.201-216 [Periódico revisado por pares]

Inderscience Publishers

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7
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
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Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

Hong, Jin ; Zhang, Yu-Dong ; Chen, Weitian

Knowledge-based systems, 2022-08, Vol.250, p.109155, Article 109155 [Periódico revisado por pares]

Elsevier B.V

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