407 related articles for article (PubMed ID: 28268580)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model.
Xie F; Fan H; Li Y; Jiang Z; Meng R; Bovik A
IEEE Trans Med Imaging; 2017 Mar; 36(3):849-858. PubMed ID: 27913337
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
Alsaade FW; Aldhyani THH; Al-Adhaileh MH
Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
[TBL] [Abstract][Full Text] [Related]
16. Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images.
Iqbal I; Younus M; Walayat K; Kakar MU; Ma J
Comput Med Imaging Graph; 2021 Mar; 88():101843. PubMed ID: 33445062
[TBL] [Abstract][Full Text] [Related]
17. Deep neural networks are superior to dermatologists in melanoma image classification.
Brinker TJ; Hekler A; Enk AH; Berking C; Haferkamp S; Hauschild A; Weichenthal M; Klode J; Schadendorf D; Holland-Letz T; von Kalle C; Fröhling S; Schilling B; Utikal JS
Eur J Cancer; 2019 Sep; 119():11-17. PubMed ID: 31401469
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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]
[Next] [New Search]
