134 related articles for article (PubMed ID: 27652176)
1. Segmentation of skin lesion using Cohen-Daubechies-Feauveau biorthogonal wavelet.
Khalid S; Jamil U; Saleem K; Akram MU; Manzoor W; Ahmed W; Sohail A
Springerplus; 2016; 5(1):1603. PubMed ID: 27652176
[TBL] [Abstract][Full Text] [Related]
2. Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm.
Ünver HM; Ayan E
Diagnostics (Basel); 2019 Jul; 9(3):. PubMed ID: 31295856
[TBL] [Abstract][Full Text] [Related]
3. Hair detection and lesion segmentation in dermoscopic images using domain knowledge.
Pathan S; Prabhu KG; Siddalingaswamy PC
Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315
[TBL] [Abstract][Full Text] [Related]
4. Machine learning based skin lesion segmentation method with novel borders and hair removal techniques.
Rehman M; Ali M; Obayya M; Asghar J; Hussain L; K Nour M; Negm N; Mustafa Hilal A
PLoS One; 2022; 17(11):e0275781. PubMed ID: 36355845
[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. Computer Based Melanocytic and Nevus Image Enhancement and Segmentation.
Jamil U; Akram MU; Khalid S; Abbas S; Saleem K
Biomed Res Int; 2016; 2016():2082589. PubMed ID: 27774454
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Hair enhancement in dermoscopic images using dual-channel quaternion tubularness filters and MRF-based multilabel optimization.
Mirzaalian H; Lee TK; Hamarneh G
IEEE Trans Image Process; 2014 Dec; 23(12):5486-96. PubMed ID: 25312927
[TBL] [Abstract][Full Text] [Related]
10. Multi-scale classification based lesion segmentation for dermoscopic images.
Abedini M; Codella N; Chakravorty R; Garnavi R; Gutman D; Helba B; Smith JR
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1361-1364. PubMed ID: 28268578
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images.
Kasmi R; Hagerty J; Young R; Lama N; Nepal J; Miinch J; Stoecker W; Stanley RJ
Skin Res Technol; 2023 Apr; 29(4):e13203. PubMed ID: 37113095
[TBL] [Abstract][Full Text] [Related]
13. A New Algorithm for Skin Lesion Border Detection in Dermoscopy Images.
Meskini E; Helfroush MS; Kazemi K; Sepaskhah M
J Biomed Phys Eng; 2018 Mar; 8(1):117-126. PubMed ID: 29732346
[TBL] [Abstract][Full Text] [Related]
14. An effective hair removal algorithm for dermoscopy images.
Toossi MT; Pourreza HR; Zare H; Sigari MH; Layegh P; Azimi A
Skin Res Technol; 2013 Aug; 19(3):230-5. PubMed ID: 23560826
[TBL] [Abstract][Full Text] [Related]
15. Segmentation of Melanocytic Lesion Images Using Gamma Correction with Clustering of Keypoint Descriptors.
Okuboyejo D; Olugbara OO
Diagnostics (Basel); 2021 Jul; 11(8):. PubMed ID: 34441300
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images.
Kaya S; Bayraktar M; Kockara S; Mete M; Halic T; Field HE; Wong HK
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):367. PubMed ID: 27766942
[TBL] [Abstract][Full Text] [Related]
18. Controlled Synthesis of Dermoscopic Images via a New Color Labeled Generative Style Transfer Network to Enhance Melanoma Segmentation.
Chi Y; Bi L; Kim J; Feng D; Kumar A
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2591-2594. PubMed ID: 30440938
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A robust hair segmentation and removal approach for clinical images of skin lesions.
Huang A; Kwan SY; Chang WY; Liu MY; Chi MH; Chen GS
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():3315-8. PubMed ID: 24110437
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
