137 related articles for article (PubMed ID: 38653997)
21. 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]
22. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
Tang P; Liang Q; Yan X; Xiang S; Zhang D
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
[TBL] [Abstract][Full Text] [Related]
26. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Haggenmüller S; Maron RC; Hekler A; Utikal JS; Barata C; Barnhill RL; Beltraminelli H; Berking C; Betz-Stablein B; Blum A; Braun SA; Carr R; Combalia M; Fernandez-Figueras MT; Ferrara G; Fraitag S; French LE; Gellrich FF; Ghoreschi K; Goebeler M; Guitera P; Haenssle HA; Haferkamp S; Heinzerling L; Heppt MV; Hilke FJ; Hobelsberger S; Krahl D; Kutzner H; Lallas A; Liopyris K; Llamas-Velasco M; Malvehy J; Meier F; Müller CSL; Navarini AA; Navarrete-Dechent C; Perasole A; Poch G; Podlipnik S; Requena L; Rotemberg VM; Saggini A; Sangueza OP; Santonja C; Schadendorf D; Schilling B; Schlaak M; Schlager JG; Sergon M; Sondermann W; Soyer HP; Starz H; Stolz W; Vale E; Weyers W; Zink A; Krieghoff-Henning E; Kather JN; von Kalle C; Lipka DB; Fröhling S; Hauschild A; Kittler H; Brinker TJ
Eur J Cancer; 2021 Oct; 156():202-216. PubMed ID: 34509059
[TBL] [Abstract][Full Text] [Related]
27. Does sex matter? Analysis of sex-related differences in the diagnostic performance of a market-approved convolutional neural network for skin cancer detection.
Sies K; Winkler JK; Fink C; Bardehle F; Toberer F; Buhl T; Enk A; Blum A; Stolz W; Rosenberger A; Haenssle HA
Eur J Cancer; 2022 Mar; 164():88-94. PubMed ID: 35182926
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification.
Khan MA; Akram T; Sharif M; Shahzad A; Aurangzeb K; Alhussein M; Haider SI; Altamrah A
BMC Cancer; 2018 Jun; 18(1):638. PubMed ID: 29871593
[TBL] [Abstract][Full Text] [Related]
30. Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification.
Dong C; Dai D; Zhang Y; Zhang C; Li Z; Xu S
Comput Biol Med; 2023 Jan; 152():106321. PubMed ID: 36463792
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.
Yuan Y; Lo YC
IEEE J Biomed Health Inform; 2019 Mar; 23(2):519-526. PubMed ID: 29990146
[TBL] [Abstract][Full Text] [Related]
33. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
Premaladha J; Ravichandran KS
J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
[TBL] [Abstract][Full Text] [Related]
34. SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation.
Zhang Z; Jiang Y; Qiao H; Wang M; Yan W; Chen J
Comput Biol Med; 2022 Nov; 150():106146. PubMed ID: 36228460
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Skin lesion classification using HG-PSO and YOLOv7 based convolutional network in real time.
Shaheen H; Singh MP
Proc Inst Mech Eng H; 2023 Oct; 237(10):1228-1239. PubMed ID: 37840254
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Superior skin cancer classification by the combination of human and artificial intelligence.
Hekler A; Utikal JS; Enk AH; Hauschild A; Weichenthal M; Maron RC; Berking C; Haferkamp S; Klode J; Schadendorf D; Schilling B; Holland-Letz T; Izar B; von Kalle C; Fröhling S; Brinker TJ;
Eur J Cancer; 2019 Oct; 120():114-121. PubMed ID: 31518967
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. 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]
[Previous] [Next] [New Search]
