167 related articles for article (PubMed ID: 36709518)
21. A GAN-based image synthesis method for skin lesion classification.
Qin Z; Liu Z; Zhu P; Xue Y
Comput Methods Programs Biomed; 2020 Oct; 195():105568. PubMed ID: 32526536
[TBL] [Abstract][Full Text] [Related]
22. Skin Cancer Classification Using Deep Spiking Neural Network.
Qasim Gilani S; Syed T; Umair M; Marques O
J Digit Imaging; 2023 Jun; 36(3):1137-1147. PubMed ID: 36690775
[TBL] [Abstract][Full Text] [Related]
23. Knowledge distillation approach towards melanoma detection.
Khan MS; Alam KN; Dhruba AR; Zunair H; Mohammed N
Comput Biol Med; 2022 Jul; 146():105581. PubMed ID: 35594685
[TBL] [Abstract][Full Text] [Related]
24. Effective Melanoma Recognition Using Deep Convolutional Neural Network with Covariance Discriminant Loss.
Guo L; Xie G; Xu X; Ren J
Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33066123
[TBL] [Abstract][Full Text] [Related]
25. Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification.
Gajera HK; Nayak DR; Zaveri MA
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():5051-5054. PubMed ID: 36085953
[TBL] [Abstract][Full Text] [Related]
26. Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering.
Nawaz M; Mehmood Z; Nazir T; Naqvi RA; Rehman A; Iqbal M; Saba T
Microsc Res Tech; 2022 Jan; 85(1):339-351. PubMed ID: 34448519
[TBL] [Abstract][Full Text] [Related]
27. Encoding Deep Residual Features into Fisher Vector for Skin Lesion Classification.
Hu H; Chen Z; Xia Y
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1843-1846. PubMed ID: 36086502
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Classification of skin lesions using transfer learning and augmentation with Alex-net.
Hosny KM; Kassem MA; Foaud MM
PLoS One; 2019; 14(5):e0217293. PubMed ID: 31112591
[TBL] [Abstract][Full Text] [Related]
30. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
Maron RC; Weichenthal M; Utikal JS; Hekler A; Berking C; Hauschild A; Enk AH; Haferkamp S; Klode J; Schadendorf D; Jansen P; Holland-Letz T; Schilling B; von Kalle C; Fröhling S; Gaiser MR; Hartmann D; Gesierich A; Kähler KC; Wehkamp U; Karoglan A; Bär C; Brinker TJ;
Eur J Cancer; 2019 Sep; 119():57-65. PubMed ID: 31419752
[TBL] [Abstract][Full Text] [Related]
31. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
32. Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things.
Akram A; Rashid J; Jaffar MA; Faheem M; Amin RU
Skin Res Technol; 2023 Nov; 29(11):e13524. PubMed ID: 38009016
[TBL] [Abstract][Full Text] [Related]
33. Classification of skin cancer from dermoscopic images using deep neural network architectures.
S M J; P M; Aravindan C; Appavu R
Multimed Tools Appl; 2023; 82(10):15763-15778. PubMed ID: 36250184
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. 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]
36. 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]
37. Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions.
Foahom Gouabou AC; Collenne J; Monnier J; Iguernaissi R; Damoiseaux JL; Moudafi A; Merad D
Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430315
[TBL] [Abstract][Full Text] [Related]
38. A Multi-Stage Faster RCNN-Based iSPLInception for Skin Disease Classification Using Novel Optimization.
Josphineleela R; Raja Rao PBV; Shaikh A; Sudhakar K
J Digit Imaging; 2023 Oct; 36(5):2210-2226. PubMed ID: 37322306
[TBL] [Abstract][Full Text] [Related]
39. Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.
Maqsood S; Damaševičius R
Neural Netw; 2023 Mar; 160():238-258. PubMed ID: 36701878
[TBL] [Abstract][Full Text] [Related]
40. Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks.
Kim CI; Hwang SM; Park EB; Won CH; Lee JH
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450993
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]