117 related articles for article (PubMed ID: 38588676)
1. Multiscale and multiperception feature learning for pancreatic lesion detection based on noncontrast CT.
Yan T; Tang G; Zhang H; Liang L; Ma J; Gao Y; Zhou C; Li S
Phys Med Biol; 2024 May; 69(10):. PubMed ID: 38588676
[No Abstract] [Full Text] [Related]
2. [Advanced Faster RCNN: a non-contrast CT-based algorithm for detecting pancreatic lesions in multiple disease stages].
Liang L; Zhang H; Lu Q; Zhou C; Li S
Nan Fang Yi Ke Da Xue Xue Bao; 2023 May; 43(5):755-763. PubMed ID: 37313817
[TBL] [Abstract][Full Text] [Related]
3. 3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion.
Wang W; Tian Y; Xu Y; Zhang XX; Li YS; Zhao SF; Bai YH
BMC Med Imaging; 2022 Jul; 22(1):130. PubMed ID: 35870877
[TBL] [Abstract][Full Text] [Related]
4. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
[TBL] [Abstract][Full Text] [Related]
5. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
6. Few-shot learning with deformable convolution for multiscale lesion detection in mammography.
Li C; Zhang D; Tian Z; Du S; Qu Y
Med Phys; 2020 Jul; 47(7):2970-2985. PubMed ID: 32160321
[TBL] [Abstract][Full Text] [Related]
7. Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.
Liu SL; Li S; Guo YT; Zhou YP; Zhang ZD; Li S; Lu Y
Chin Med J (Engl); 2019 Dec; 132(23):2795-2803. PubMed ID: 31856050
[TBL] [Abstract][Full Text] [Related]
8. An improved faster R-CNN algorithm for assisted detection of lung nodules.
Xu J; Ren H; Cai S; Zhang X
Comput Biol Med; 2023 Feb; 153():106470. PubMed ID: 36587571
[TBL] [Abstract][Full Text] [Related]
9. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Kushnure DT; Talbar SN
Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
[TBL] [Abstract][Full Text] [Related]
10. Low-dose CT denoising with a high-level feature refinement and dynamic convolution network.
Yang S; Pu Q; Lei C; Zhang Q; Jeon S; Yang X
Med Phys; 2023 Jun; 50(6):3597-3611. PubMed ID: 36542402
[TBL] [Abstract][Full Text] [Related]
11. Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.
Si K; Xue Y; Yu X; Zhu X; Li Q; Gong W; Liang T; Duan S
Theranostics; 2021; 11(4):1982-1990. PubMed ID: 33408793
[TBL] [Abstract][Full Text] [Related]
12. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
Cao Z; Duan L; Yang G; Yue T; Chen Q
BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
[TBL] [Abstract][Full Text] [Related]
13. AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.
Zhong B; Yi J; Jin Z
Phys Med Biol; 2023 Sep; 68(19):. PubMed ID: 37678268
[No Abstract] [Full Text] [Related]
14. [Image segmentation of skin lesions based on dense atrous spatial pyramid pooling and attention mechanism].
Yin W; Zhou D; Fan T; Yu Z; Li Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1108-1116. PubMed ID: 36575079
[TBL] [Abstract][Full Text] [Related]
15. Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy.
Men K; Boimel P; Janopaul-Naylor J; Zhong H; Huang M; Geng H; Cheng C; Fan Y; Plastaras JP; Ben-Josef E; Xiao Y
Phys Med Biol; 2018 Sep; 63(18):185016. PubMed ID: 30109986
[TBL] [Abstract][Full Text] [Related]
16. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
[TBL] [Abstract][Full Text] [Related]
17. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
Lee H; Hong H; Kim J; Jung DC
Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
[TBL] [Abstract][Full Text] [Related]
18. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
Liu Z; Yuan H; Wang H
Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
[TBL] [Abstract][Full Text] [Related]
19. Automated mammographic mass detection using deformable convolution and multiscale features.
Peng J; Bao C; Hu C; Wang X; Jian W; Liu W
Med Biol Eng Comput; 2020 Jul; 58(7):1405-1417. PubMed ID: 32297129
[TBL] [Abstract][Full Text] [Related]
20. [Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism].
Dong T; Wei L; Ye X; Chen Y; Hou X; Nie S
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Jun; 39(3):441-451. PubMed ID: 35788513
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]