182 related articles for article (PubMed ID: 30047917)
1. Dense Deconvolutional Network for Skin Lesion Segmentation.
Li H; He X; Zhou F; Yu Z; Ni D; Chen S; Wang T; Lei B
IEEE J Biomed Health Inform; 2019 Mar; 23(2):527-537. PubMed ID: 30047917
[TBL] [Abstract][Full Text] [Related]
2. Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.
Yuan Y; Lo YC
IEEE J Biomed Health Inform; 2019 Mar; 23(2):519-526. PubMed ID: 29990146
[TBL] [Abstract][Full Text] [Related]
3. Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation.
He X; Yu Z; Wang T; Lei B; Shi Y
Technol Health Care; 2018; 26(S1):307-316. PubMed ID: 29758959
[TBL] [Abstract][Full Text] [Related]
4. Dense pooling layers in fully convolutional network for skin lesion segmentation.
Nasr-Esfahani E; Rafiei S; Jafari MH; Karimi N; Wrobel JS; Samavi S; Reza Soroushmehr SM
Comput Med Imaging Graph; 2019 Dec; 78():101658. PubMed ID: 31634739
[TBL] [Abstract][Full Text] [Related]
5. Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images.
Jahanifar M; Zamani Tajeddin N; Mohammadzadeh Asl B; Gooya A
IEEE J Biomed Health Inform; 2019 Mar; 23(2):509-518. PubMed ID: 29994323
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
[TBL] [Abstract][Full Text] [Related]
8. Active Contours Based Segmentation and Lesion Periphery Analysis For Characterization of Skin Lesions in Dermoscopy Images.
Riaz F; Naeem S; Nawaz R; Coimbra MT
IEEE J Biomed Health Inform; 2019 Mar; 23(2):489-500. PubMed ID: 29993589
[TBL] [Abstract][Full Text] [Related]
9. Automatic skin lesion classification using a new densely connected convolutional network with an SF module.
Shan P; Fu C; Dai L; Jia T; Tie M; Liu J
Med Biol Eng Comput; 2022 Aug; 60(8):2173-2188. PubMed ID: 35639329
[TBL] [Abstract][Full Text] [Related]
10. Skin lesion segmentation using high-resolution convolutional neural network.
Xie F; Yang J; Liu J; Jiang Z; Zheng Y; Wang Y
Comput Methods Programs Biomed; 2020 Apr; 186():105241. PubMed ID: 31837637
[TBL] [Abstract][Full Text] [Related]
11. An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.
Song L; Lin J; Wang ZJ; Wang H
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2912-2921. PubMed ID: 32071016
[TBL] [Abstract][Full Text] [Related]
12. Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.
Kawahara J; Hamarneh G
IEEE J Biomed Health Inform; 2019 Mar; 23(2):578-585. PubMed ID: 29994053
[TBL] [Abstract][Full Text] [Related]
13. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
[TBL] [Abstract][Full Text] [Related]
14. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
Yu Z; Jiang X; Zhou F; Qin J; Ni D; Chen S; Lei B; Wang T
IEEE Trans Biomed Eng; 2019 Apr; 66(4):1006-1016. PubMed ID: 30130171
[TBL] [Abstract][Full Text] [Related]
15. Automatic segmentation of dermoscopy images using saliency combined with Otsu threshold.
Fan H; Xie F; Li Y; Jiang Z; Liu J
Comput Biol Med; 2017 Jun; 85():75-85. PubMed ID: 28460258
[TBL] [Abstract][Full Text] [Related]
16. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
Tajeddin NZ; Asl BM
Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
[TBL] [Abstract][Full Text] [Related]
17. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
Tang P; Liang Q; Yan X; Xiang S; Zhang D
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
[TBL] [Abstract][Full Text] [Related]
18. Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
Ahn E; Kim J; Bi L; Kumar A; Li C; Fulham M; Feng DD
IEEE J Biomed Health Inform; 2017 Nov; 21(6):1685-1693. PubMed ID: 28092585
[TBL] [Abstract][Full Text] [Related]
19. Automatic skin lesion segmentation based on FC-DPN.
Shan P; Wang Y; Fu C; Song W; Chen J
Comput Biol Med; 2020 Aug; 123():103762. PubMed ID: 32768035
[TBL] [Abstract][Full Text] [Related]
20. Accurate Segmentation and Registration of Skin Lesion Images to Evaluate Lesion Change.
Navarro F; Escudero-Vinolo M; Bescos J
IEEE J Biomed Health Inform; 2019 Mar; 23(2):501-508. PubMed ID: 29993849
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]