155 related articles for article (PubMed ID: 38773670)
1. HCA-DAN: hierarchical class-aware domain adaptive network for gastric tumor segmentation in 3D CT images.
Yuan N; Zhang Y; Lv K; Liu Y; Yang A; Hu P; Yu H; Han X; Guo X; Li J; Wang T; Lei B; Ma G
Cancer Imaging; 2024 May; 24(1):63. PubMed ID: 38773670
[TBL] [Abstract][Full Text] [Related]
2. USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation.
Zhang Y; Yuan N; Liu B; Yang A; Yu H; Lv K; Luan J; Hu P; Lei H; Wang T; Ma G; Lei B
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082801
[TBL] [Abstract][Full Text] [Related]
3. 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
Zhang Y; Li H; Du J; Qin J; Wang T; Chen Y; Liu B; Gao W; Ma G; Lei B
IEEE Trans Med Imaging; 2021 Jun; 40(6):1618-1631. PubMed ID: 33646948
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
Zhang Y; Yuan N; Zhang Z; Du J; Wang T; Liu B; Yang A; Lv K; Ma G; Lei B
Med Image Anal; 2022 Jul; 79():102467. PubMed ID: 35537338
[TBL] [Abstract][Full Text] [Related]
5. 3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor.
Li H; Liu B; Zhang Y; Fu C; Han X; Du L; Gao W; Chen Y; Liu X; Wang Y; Wang T; Ma G; Lei B
Front Oncol; 2021; 11():618496. PubMed ID: 34094903
[TBL] [Abstract][Full Text] [Related]
6. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images.
Li GY; Chen J; Jang SI; Gong K; Li Q
Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263
[TBL] [Abstract][Full Text] [Related]
7. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
8. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
9. A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation.
Yue Y; Li N; Zhang G; Xing W; Zhu Z; Liu X; Song S; Ta D
Comput Methods Programs Biomed; 2024 Jun; 251():108216. PubMed ID: 38761412
[TBL] [Abstract][Full Text] [Related]
10. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation.
Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T
Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298
[TBL] [Abstract][Full Text] [Related]
11. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
[TBL] [Abstract][Full Text] [Related]
12. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
[TBL] [Abstract][Full Text] [Related]
13. Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.
Mahmoudi T; Kouzahkanan ZM; Radmard AR; Kafieh R; Salehnia A; Davarpanah AH; Arabalibeik H; Ahmadian A
Sci Rep; 2022 Feb; 12(1):3092. PubMed ID: 35197542
[TBL] [Abstract][Full Text] [Related]
14. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images.
Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D
J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289
[TBL] [Abstract][Full Text] [Related]
15. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
[TBL] [Abstract][Full Text] [Related]
16. Multi-scale contextual semantic enhancement network for 3D medical image segmentation.
Xia T; Huang G; Pun CM; Zhang W; Li J; Ling WK; Lin C; Yang Q
Phys Med Biol; 2022 Nov; 67(22):. PubMed ID: 36317277
[No Abstract] [Full Text] [Related]
17. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
[TBL] [Abstract][Full Text] [Related]
18. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
19. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
20. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]