610 related articles for article (PubMed ID: 36623332)
1. Lens structure segmentation from AS-OCT images via shape-based learning.
Fang H; Yin P; Chen H; Fang Y; Chen W; Yuan J; Risa H; Liu J; Xu Y
Comput Methods Programs Biomed; 2023 Mar; 230():107322. PubMed ID: 36623332
[TBL] [Abstract][Full Text] [Related]
2. Semi-supervised contrast learning-based segmentation of choroidal vessel in optical coherence tomography images.
Liu X; Pan J; Zhang Y; Li X; Tang J
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972415
[No Abstract] [Full Text] [Related]
3. 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]
4. Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images.
Zhuang M; Chen Z; Wang H; Tang H; He J; Qin B; Yang Y; Jin X; Yu M; Jin B; Li T; Kettunen L
Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):379-394. PubMed ID: 36048319
[TBL] [Abstract][Full Text] [Related]
5. Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks.
Zhang T; Wei Q; Li Z; Meng W; Zhang M; Zhang Z
Comput Methods Programs Biomed; 2023 Oct; 240():107632. PubMed ID: 37329802
[TBL] [Abstract][Full Text] [Related]
6. CTS-Net: A Segmentation Network for Glaucoma Optical Coherence Tomography Retinal Layer Images.
Xue S; Wang H; Guo X; Sun M; Song K; Shao Y; Zhang H; Zhang T
Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829724
[TBL] [Abstract][Full Text] [Related]
7. Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior.
Zhang H; Yang X; Li D; Cui Y; Zhao J; Qiu S
J Biomed Inform; 2023 Mar; 139():104304. PubMed ID: 36736447
[TBL] [Abstract][Full Text] [Related]
8. Learning to segment subcortical structures from noisy annotations with a novel uncertainty-reliability aware learning framework.
Li X; Wei Y; Hu Q; Wang C; Yang J
Comput Biol Med; 2022 Dec; 151(Pt B):106326. PubMed ID: 36442274
[TBL] [Abstract][Full Text] [Related]
9. A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP).
Wang YZ; Wu W; Birch DG
Transl Vis Sci Technol; 2021 Nov; 10(13):9. PubMed ID: 34751740
[TBL] [Abstract][Full Text] [Related]
10. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
Hasan MK; Calvet L; Rabbani N; Bartoli A
Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
[TBL] [Abstract][Full Text] [Related]
11. An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images.
Haggag S; Khalifa F; Abdeltawab H; Elnakib A; Ghazal M; Mohamed MA; Sandhu HS; Alghamdi NS; El-Baz A
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450898
[TBL] [Abstract][Full Text] [Related]
12. Multi-class retinal fluid joint segmentation based on cascaded convolutional neural networks.
Tang W; Ye Y; Chen X; Shi F; Xiang D; Chen Z; Zhu W
Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35613604
[No Abstract] [Full Text] [Related]
13. Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images.
Agnes SA
J Med Phys; 2023; 48(2):161-174. PubMed ID: 37576094
[TBL] [Abstract][Full Text] [Related]
14. Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.
Garcia-Marin YF; Alonso-Caneiro D; Fisher D; Vincent SJ; Collins MJ
Comput Biol Med; 2023 Jan; 152():106342. PubMed ID: 36481759
[TBL] [Abstract][Full Text] [Related]
15. VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images.
Zhang S; Yuan Z; Zhou X; Wang H; Chen B; Wang Y
Comput Methods Programs Biomed; 2024 Jun; 250():108178. PubMed ID: 38652995
[TBL] [Abstract][Full Text] [Related]
16. A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
Chakravarty A; Sivaswamy J
Comput Methods Programs Biomed; 2018 Oct; 165():235-250. PubMed ID: 30337078
[TBL] [Abstract][Full Text] [Related]
17. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs.
Mohagheghi S; Foruzan AH
Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):249-257. PubMed ID: 31686380
[TBL] [Abstract][Full Text] [Related]
20. Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies.
Andresen J; Kepp T; Ehrhardt J; Burchard CV; Roider J; Handels H
Int J Comput Assist Radiol Surg; 2022 Apr; 17(4):699-710. PubMed ID: 35239133
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]