129 related articles for article (PubMed ID: 36701317)
21. Dilated Heterogeneous Convolution for Cell Detection and Segmentation Based on Mask R-CNN.
Hu F; Hu H; Xu H; Xu J; Chen Q
Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676041
[TBL] [Abstract][Full Text] [Related]
22. A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN.
Loh R; Yong WX; Yapeter J; Subburaj K; Chandramohanadas R
Comput Med Imaging Graph; 2021 Mar; 88():101845. PubMed ID: 33582593
[TBL] [Abstract][Full Text] [Related]
23. A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network.
Li Y; Zhang K; Shi W; Miao Y; Jiang Z
Comput Math Methods Med; 2021; 2021():9974017. PubMed ID: 34621329
[TBL] [Abstract][Full Text] [Related]
24. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Lucena O; Souza R; Rittner L; Frayne R; Lotufo R
Artif Intell Med; 2019 Jul; 98():48-58. PubMed ID: 31521252
[TBL] [Abstract][Full Text] [Related]
25. Deep learning based object tracking for 3D microstructure reconstruction.
Ma B; Xu Y; Chen J; Puquan P; Ban X; Wang H; Xue W
Methods; 2022 Aug; 204():172-178. PubMed ID: 35413441
[TBL] [Abstract][Full Text] [Related]
26. Medical Image Segmentation Algorithm Based on Feedback Mechanism CNN.
An FP; Liu ZW
Contrast Media Mol Imaging; 2019; 2019():6134942. PubMed ID: 31481851
[TBL] [Abstract][Full Text] [Related]
27. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
[TBL] [Abstract][Full Text] [Related]
28. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Liu L; Zhang Z; Li S; Ma K; Zheng Y
Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
[TBL] [Abstract][Full Text] [Related]
29. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
Haq EU; Jianjun H; Huarong X; Li K; Weng L
Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
[TBL] [Abstract][Full Text] [Related]
30. A novel biomedical image indexing and retrieval system via deep preference learning.
Pang S; Orgun MA; Yu Z
Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
[TBL] [Abstract][Full Text] [Related]
31. Using optimal transport theory to optimize a deep convolutional neural network microscopic cell counting method.
Ding Y; Zheng Y; Han Z; Yang X
Med Biol Eng Comput; 2023 Nov; 61(11):2939-2950. PubMed ID: 37532907
[TBL] [Abstract][Full Text] [Related]
32. Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
Sun Y; Xue B; Zhang M; Yen GG; Lv J
IEEE Trans Cybern; 2020 Sep; 50(9):3840-3854. PubMed ID: 32324588
[TBL] [Abstract][Full Text] [Related]
33. Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation.
Chen H; Yan S; Xie M; Ye Y; Ye Y; Zhu D; Su L; Huang J
Comput Methods Programs Biomed; 2022 Mar; 215():106608. PubMed ID: 35063713
[TBL] [Abstract][Full Text] [Related]
34. Denoising Medical Images Using Machine Learning, Deep Learning Approaches: A Survey.
Arshaghi A; Ashourian M; Ghabeli L
Curr Med Imaging; 2021; 17(5):578-594. PubMed ID: 33213331
[TBL] [Abstract][Full Text] [Related]
35. RootPainter: deep learning segmentation of biological images with corrective annotation.
Smith AG; Han E; Petersen J; Olsen NAF; Giese C; Athmann M; Dresbøll DB; Thorup-Kristensen K
New Phytol; 2022 Oct; 236(2):774-791. PubMed ID: 35851958
[TBL] [Abstract][Full Text] [Related]
36. An Improved Full Convolutional Network Combined with Conditional Random Fields for Brain MR Image Segmentation Algorithm and its 3D Visualization Analysis.
Zhai J; Li H
J Med Syst; 2019 Jul; 43(9):292. PubMed ID: 31338693
[TBL] [Abstract][Full Text] [Related]
37. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
[TBL] [Abstract][Full Text] [Related]
38. Segmentation and counting of multiple myeloma cells using IEMD based deep neural network.
Rasal T; Veerakumar T; Subudhi BN; Esakkirajan S
Leuk Res; 2022 Nov; 122():106950. PubMed ID: 36152502
[TBL] [Abstract][Full Text] [Related]
39. Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model.
Zambrano-Vizuete M; Botto-Tobar M; Huerta-Suárez C; Paredes-Parada W; Patiño Pérez D; Ahanger TA; Gonzalez N
Comput Intell Neurosci; 2022; 2022():6872045. PubMed ID: 35990113
[TBL] [Abstract][Full Text] [Related]
40. Deep-learning-based direct inversion for material decomposition.
Gong H; Tao S; Rajendran K; Zhou W; McCollough CH; Leng S
Med Phys; 2020 Dec; 47(12):6294-6309. PubMed ID: 33020942
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]