172 related articles for article (PubMed ID: 28797548)
1. Efficient and robust cell detection: A structured regression approach.
Xie Y; Xing F; Shi X; Kong X; Su H; Yang L
Med Image Anal; 2018 Feb; 44():245-254. PubMed ID: 28797548
[TBL] [Abstract][Full Text] [Related]
2. Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network.
Xie Y; Xing F; Kong X; Su H; Yang L
Med Image Comput Comput Assist Interv; 2015 Oct; 9351():358-365. PubMed ID: 28090601
[TBL] [Abstract][Full Text] [Related]
3. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
4. Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.
Xing F; Cornish TC; Bennett T; Ghosh D; Yang L
IEEE Trans Biomed Eng; 2019 Nov; 66(11):3088-3097. PubMed ID: 30802845
[TBL] [Abstract][Full Text] [Related]
5. Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network.
Ramesh N; Tasdizen T
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1457-1468. PubMed ID: 30530343
[TBL] [Abstract][Full Text] [Related]
6. Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images.
Xie Y; Kong X; Xing F; Liu F; Su H; Yang L
Med Image Comput Comput Assist Interv; 2015 Oct; 9351():374-382. PubMed ID: 28083567
[TBL] [Abstract][Full Text] [Related]
7. Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview.
Gao J; Jiang Q; Zhou B; Chen D
Math Biosci Eng; 2019 Jul; 16(6):6536-6561. PubMed ID: 31698575
[TBL] [Abstract][Full Text] [Related]
8. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
9. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
[TBL] [Abstract][Full Text] [Related]
10. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
Bajwa MN; Malik MI; Siddiqui SA; Dengel A; Shafait F; Neumeier W; Ahmed S
BMC Med Inform Decis Mak; 2019 Jul; 19(1):136. PubMed ID: 31315618
[TBL] [Abstract][Full Text] [Related]
11. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
[TBL] [Abstract][Full Text] [Related]
12. Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection.
Xue Y; Bigras G; Hugh J; Ray N
IEEE Trans Med Imaging; 2019 Nov; 38(11):2632-2641. PubMed ID: 30908206
[TBL] [Abstract][Full Text] [Related]
13. New one-step model of breast tumor locating based on deep learning.
Tao C; Chen K; Han L; Peng Y; Li C; Hua Z; Lin J
J Xray Sci Technol; 2019; 27(5):839-856. PubMed ID: 31306148
[TBL] [Abstract][Full Text] [Related]
14. A novel retinal vessel detection approach based on multiple deep convolution neural networks.
Guo Y; Budak Ü; Şengür A
Comput Methods Programs Biomed; 2018 Dec; 167():43-48. PubMed ID: 30501859
[TBL] [Abstract][Full Text] [Related]
15. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; Corrêa Silva A; de Paiva AC; Gattass M
Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.
Kobayashi M; Ishioka J; Matsuoka Y; Fukuda Y; Kohno Y; Kawano K; Morimoto S; Muta R; Fujiwara M; Kawamura N; Okuno T; Yoshida S; Yokoyama M; Suda R; Saiki R; Suzuki K; Kumazawa I; Fujii Y
BMC Urol; 2021 Aug; 21(1):102. PubMed ID: 34353306
[TBL] [Abstract][Full Text] [Related]
18. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
[TBL] [Abstract][Full Text] [Related]
19. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]