163 related articles for article (PubMed ID: 35254677)
1. Hair removal in dermoscopy images using variational autoencoders.
Bardou D; Bouaziz H; Lv L; Zhang T
Skin Res Technol; 2022 May; 28(3):445-454. PubMed ID: 35254677
[TBL] [Abstract][Full Text] [Related]
2. ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images.
Lama N; Kasmi R; Hagerty JR; Stanley RJ; Young R; Miinch J; Nepal J; Nambisan A; Stoecker WV
J Digit Imaging; 2023 Apr; 36(2):526-535. PubMed ID: 36385676
[TBL] [Abstract][Full Text] [Related]
3. Realistic hair simulator for skin lesion images: A novel benchemarking tool.
Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
Artif Intell Med; 2020 Aug; 108():101933. PubMed ID: 32972662
[TBL] [Abstract][Full Text] [Related]
4. A feature-preserving hair removal algorithm for dermoscopy images.
Abbas Q; Garcia IF; Emre Celebi M; Ahmad W
Skin Res Technol; 2013 Feb; 19(1):e27-36. PubMed ID: 22211360
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
Comput Methods Programs Biomed; 2019 Aug; 177():17-30. PubMed ID: 31319945
[TBL] [Abstract][Full Text] [Related]
7. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
8. No-reference hair occlusion assessment for dermoscopy images based on distribution feature.
Xie F; Li Y; Meng R; Jiang Z
Comput Biol Med; 2015 Apr; 59():106-115. PubMed ID: 25701625
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Hair removal on dermoscopy images.
Maglogiannis I; Delibasis K
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2960-3. PubMed ID: 26736913
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt +.
Zhao C; Shuai R; Ma L; Liu W; Wu M
Med Biol Eng Comput; 2021 Sep; 59(9):1815-1832. PubMed ID: 34304370
[TBL] [Abstract][Full Text] [Related]
12. A deep bag-of-features model for the classification of melanomas in dermoscopy images.
Sabbaghi S; Aldeen M; Garnavi R
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1369-1372. PubMed ID: 28268580
[TBL] [Abstract][Full Text] [Related]
13. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia M; Codella N; Rotemberg V; Carrera C; Dusza S; Gutman D; Helba B; Kittler H; Kurtansky NR; Liopyris K; Marchetti MA; Podlipnik S; Puig S; Rinner C; Tschandl P; Weber J; Halpern A; Malvehy J
Lancet Digit Health; 2022 May; 4(5):e330-e339. PubMed ID: 35461690
[TBL] [Abstract][Full Text] [Related]
14. Acral melanoma detection using a convolutional neural network for dermoscopy images.
Yu C; Yang S; Kim W; Jung J; Chung KY; Lee SW; Oh B
PLoS One; 2018; 13(3):e0193321. PubMed ID: 29513718
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. An efficient multi-level pre-processing algorithm for the enhancement of dermoscopy images in melanoma detection.
Jeba Derwin D; Jeba Singh O; Priestly Shan B; Uma Maheswari K; Lavanya D
Med Biol Eng Comput; 2023 Nov; 61(11):2921-2938. PubMed ID: 37530886
[TBL] [Abstract][Full Text] [Related]
17. Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network.
Arif M; Philip FM; Ajesh F; Izdrui D; Craciun MD; Geman O
J Healthc Eng; 2022; 2022():6952304. PubMed ID: 35186235
[TBL] [Abstract][Full Text] [Related]
18. Differentiation of melanoma from benign mimics using the relative-color method.
LeAnder R; Chindam P; Das M; Umbaugh SE
Skin Res Technol; 2010 Aug; 16(3):297-304. PubMed ID: 20636998
[TBL] [Abstract][Full Text] [Related]
19. Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network.
Zafar K; Gilani SO; Waris A; Ahmed A; Jamil M; Khan MN; Sohail Kashif A
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32183041
[TBL] [Abstract][Full Text] [Related]
20. VirtualShave: automated hair removal from digital dermatoscopic images.
Fiorese M; Peserico E; Silletti A
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5145-8. PubMed ID: 22255497
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
