149 related articles for article (PubMed ID: 34441300)
1. 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]
2. 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]
3. 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]
4. 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]
5. A Segmentation of Melanocytic Skin Lesions in Dermoscopic and Standard Images Using a Hybrid Two-Stage Approach.
Hwang YN; Seo MJ; Kim SM
Biomed Res Int; 2021; 2021():5562801. PubMed ID: 33880368
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
Baig R; Bibi M; Hamid A; Kausar S; Khalid S
Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.
Serban ED; Farnetani F; Pellacani G; Constantin MM
Acta Dermatovenerol Croat; 2018 Apr; 26(1):64-67. PubMed ID: 29782304
[TBL] [Abstract][Full Text] [Related]
11. An improved border detection in dermoscopy images for density based clustering.
Suer S; Kockara S; Mete M
BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S12. PubMed ID: 22166058
[TBL] [Abstract][Full Text] [Related]
12. Unsupervised sub-segmentation for pigmented skin lesions.
Liu Z; Sun J; Smith M; Smith L; Warr R
Skin Res Technol; 2012 Feb; 18(1):77-87. PubMed ID: 21545650
[TBL] [Abstract][Full Text] [Related]
13. Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.
Ferrante di Ruffano L; Takwoingi Y; Dinnes J; Chuchu N; Bayliss SE; Davenport C; Matin RN; Godfrey K; O'Sullivan C; Gulati A; Chan SA; Durack A; O'Connell S; Gardiner MD; Bamber J; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013186. PubMed ID: 30521691
[TBL] [Abstract][Full Text] [Related]
14. Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.
Dinnes J; Deeks JJ; Chuchu N; Matin RN; Wong KY; Aldridge RB; Durack A; Gulati A; Chan SA; Johnston L; Bayliss SE; Leonardi-Bee J; Takwoingi Y; Davenport C; O'Sullivan C; Tehrani H; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD011901. PubMed ID: 30521688
[TBL] [Abstract][Full Text] [Related]
15. Skin lesion image segmentation using Delaunay Triangulation for melanoma detection.
Pennisi A; Bloisi DD; Nardi D; Giampetruzzi AR; Mondino C; Facchiano A
Comput Med Imaging Graph; 2016 Sep; 52():89-103. PubMed ID: 27215953
[TBL] [Abstract][Full Text] [Related]
16. Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy.
Maglogiannis I; Delibasis KK
Comput Methods Programs Biomed; 2015 Feb; 118(2):124-33. PubMed ID: 25540998
[TBL] [Abstract][Full Text] [Related]
17. Segmentation of skin lesions in dermoscopy images using fuzzy classification of pixels and histogram thresholding.
Garcia-Arroyo JL; Garcia-Zapirain B
Comput Methods Programs Biomed; 2019 Jan; 168():11-19. PubMed ID: 30527129
[TBL] [Abstract][Full Text] [Related]
18. Three-phase general border detection method for dermoscopy images using non-uniform illumination correction.
Norton KA; Iyatomi H; Celebi ME; Ishizaki S; Sawada M; Suzaki R; Kobayashi K; Tanaka M; Ogawa K
Skin Res Technol; 2012 Aug; 18(3):290-300. PubMed ID: 22092500
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation.
Lama N; Stanley RJ; Lama B; Maurya A; Nambisan A; Hagerty J; Phan T; Van Stoecker W
J Imaging Inform Med; 2024 Feb; ():. PubMed ID: 38409610
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
