297 related articles for article (PubMed ID: 29990146)
21. 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]
22. 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]
23. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.
Haenssle HA; Fink C; Schneiderbauer R; Toberer F; Buhl T; Blum A; Kalloo A; Hassen ABH; Thomas L; Enk A; Uhlmann L; ; Alt C; Arenbergerova M; Bakos R; Baltzer A; Bertlich I; Blum A; Bokor-Billmann T; Bowling J; Braghiroli N; Braun R; Buder-Bakhaya K; Buhl T; Cabo H; Cabrijan L; Cevic N; Classen A; Deltgen D; Fink C; Georgieva I; Hakim-Meibodi LE; Hanner S; Hartmann F; Hartmann J; Haus G; Hoxha E; Karls R; Koga H; Kreusch J; Lallas A; Majenka P; Marghoob A; Massone C; Mekokishvili L; Mestel D; Meyer V; Neuberger A; Nielsen K; Oliviero M; Pampena R; Paoli J; Pawlik E; Rao B; Rendon A; Russo T; Sadek A; Samhaber K; Schneiderbauer R; Schweizer A; Toberer F; Trennheuser L; Vlahova L; Wald A; Winkler J; Wölbing P; Zalaudek I
Ann Oncol; 2018 Aug; 29(8):1836-1842. PubMed ID: 29846502
[TBL] [Abstract][Full Text] [Related]
24. A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model.
Ma Z; Tavares JM
IEEE J Biomed Health Inform; 2016 Mar; 20(2):615-23. PubMed ID: 25585429
[TBL] [Abstract][Full Text] [Related]
25. A comparative study of deep learning architectures on melanoma detection.
Hosseinzadeh Kassani S; Hosseinzadeh Kassani P
Tissue Cell; 2019 Jun; 58():76-83. PubMed ID: 31133249
[TBL] [Abstract][Full Text] [Related]
26. DermaKNet: Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for Skin Lesion Diagnosis.
Gonzalez-Diaz I
IEEE J Biomed Health Inform; 2019 Mar; 23(2):547-559. PubMed ID: 29994788
[TBL] [Abstract][Full Text] [Related]
27. Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance.
Yuan Y; Chao M; Lo YC
IEEE Trans Med Imaging; 2017 Sep; 36(9):1876-1886. PubMed ID: 28436853
[TBL] [Abstract][Full Text] [Related]
28. Biologically Inspired QuadTree Color Detection in Dermoscopy Images of Melanoma.
Sabbaghi Mahmouei S; Aldeen M; Stoecker WV; Garnavi R
IEEE J Biomed Health Inform; 2019 Mar; 23(2):570-577. PubMed ID: 29993590
[TBL] [Abstract][Full Text] [Related]
29. Automatic lesion border selection in dermoscopy images using morphology and color features.
Mishra NK; Kaur R; Kasmi R; Hagerty JR; LeAnder R; Stanley RJ; Moss RH; Stoecker WV
Skin Res Technol; 2019 Jul; 25(4):544-552. PubMed ID: 30868667
[TBL] [Abstract][Full Text] [Related]
30. SDI+: A Novel Algorithm for Segmenting Dermoscopic Images.
Guarracino MR; Maddalena L
IEEE J Biomed Health Inform; 2019 Mar; 23(2):481-488. PubMed ID: 29994446
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Combined Spline and B-spline for an improved automatic skin lesion segmentation in dermoscopic images using optimal color channel.
Abbas AA; Guo X; Tan WH; Jalab HA
J Med Syst; 2014 Aug; 38(8):80. PubMed ID: 24957396
[TBL] [Abstract][Full Text] [Related]
33. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
Brinker TJ; Hekler A; Enk AH; Klode J; Hauschild A; Berking C; Schilling B; Haferkamp S; Schadendorf D; Fröhling S; Utikal JS; von Kalle C;
Eur J Cancer; 2019 Apr; 111():148-154. PubMed ID: 30852421
[TBL] [Abstract][Full Text] [Related]
34. Fusing fine-tuned deep features for skin lesion classification.
Mahbod A; Schaefer G; Ellinger I; Ecker R; Pitiot A; Wang C
Comput Med Imaging Graph; 2019 Jan; 71():19-29. PubMed ID: 30458354
[TBL] [Abstract][Full Text] [Related]
35. Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.
Ashraf H; Waris A; Ghafoor MF; Gilani SO; Niazi IK
Sci Rep; 2022 Mar; 12(1):3948. PubMed ID: 35273282
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Melanoma detection by analysis of clinical images using convolutional neural network.
Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Jafari MH; Ward K; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1373-1376. PubMed ID: 28268581
[TBL] [Abstract][Full Text] [Related]
38. Melanoma diagnosis using deep learning techniques on dermatoscopic images.
Jojoa Acosta MF; Caballero Tovar LY; Garcia-Zapirain MB; Percybrooks WS
BMC Med Imaging; 2021 Jan; 21(1):6. PubMed ID: 33407213
[TBL] [Abstract][Full Text] [Related]
39. Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images.
Hagerty JR; Stanley RJ; Almubarak HA; Lama N; Kasmi R; Guo P; Drugge RJ; Rabinovitz HS; Oliviero M; Stoecker WV
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1385-1391. PubMed ID: 30624234
[TBL] [Abstract][Full Text] [Related]
40. Skin Lesion Segmentation in Dermoscopic Images with Noisy Data.
Lama N; Hagerty J; Nambisan A; Stanley RJ; Van Stoecker W
J Digit Imaging; 2023 Aug; 36(4):1712-1722. PubMed ID: 37020149
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
