145 related articles for article (PubMed ID: 38353334)
21. ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for Classification of Skin Cancer.
Liu N; Rejeesh MR; Sundararaj V; Gunasundari B
Expert Syst Appl; 2023 Jun; ():120719. PubMed ID: 37362255
[TBL] [Abstract][Full Text] [Related]
22. A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization.
Kumar Lilhore U; Simaiya S; Sharma YK; Kaswan KS; Rao KBVB; Rao VVRM; Baliyan A; Bijalwan A; Alroobaea R
Sci Rep; 2024 Feb; 14(1):4299. PubMed ID: 38383520
[TBL] [Abstract][Full Text] [Related]
23. Computational Intelligence-Based Melanoma Detection and Classification Using Dermoscopic Images.
Vaiyapuri T; Balaji P; S S; Alaskar H; Sbai Z
Comput Intell Neurosci; 2022; 2022():2370190. PubMed ID: 35685142
[TBL] [Abstract][Full Text] [Related]
24. Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition.
Winkler JK; Fink C; Toberer F; Enk A; Deinlein T; Hofmann-Wellenhof R; Thomas L; Lallas A; Blum A; Stolz W; Haenssle HA
JAMA Dermatol; 2019 Oct; 155(10):1135-1141. PubMed ID: 31411641
[TBL] [Abstract][Full Text] [Related]
25. Controlled Synthesis of Dermoscopic Images via a New Color Labeled Generative Style Transfer Network to Enhance Melanoma Segmentation.
Chi Y; Bi L; Kim J; Feng D; Kumar A
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2591-2594. PubMed ID: 30440938
[TBL] [Abstract][Full Text] [Related]
26. Adaptive fuzzy deformable fusion and optimized CNN with ensemble classification for automated brain tumor diagnosis.
Murthy MYB; Koteswararao A; Babu MS
Biomed Eng Lett; 2022 Feb; 12(1):37-58. PubMed ID: 35186359
[TBL] [Abstract][Full Text] [Related]
27. Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet.
Hosny KM; Kassem MA; Fouad MM
J Digit Imaging; 2020 Oct; 33(5):1325-1334. PubMed ID: 32607904
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification.
Satheesha TY; Satyanarayana D; Prasad MNG; Dhruve KD
IEEE J Transl Eng Health Med; 2017; 5():4300117. PubMed ID: 28512610
[TBL] [Abstract][Full Text] [Related]
30. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
Chatterjee S; Dey D; Munshi S
Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
[TBL] [Abstract][Full Text] [Related]
31. Skin Lesion Classification Using Additional Patient Information.
Sun Q; Huang C; Chen M; Xu H; Yang Y
Biomed Res Int; 2021; 2021():6673852. PubMed ID: 33937410
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. 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]
35. 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]
36. A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization.
Sayed GI; Soliman MM; Hassanien AE
Comput Biol Med; 2021 Sep; 136():104712. PubMed ID: 34388470
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. An IoMT-Based Melanoma Lesion Segmentation Using Conditional Generative Adversarial Networks.
Ali Z; Naz S; Zaffar H; Choi J; Kim Y
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050607
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]