These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
22. Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities. Goyal M; Knackstedt T; Yan S; Hassanpour S Comput Biol Med; 2020 Dec; 127():104065. PubMed ID: 33246265 [TBL] [Abstract][Full Text] [Related]
23. DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images. Tahir M; Naeem A; Malik H; Tanveer J; Naqvi RA; Lee SW Cancers (Basel); 2023 Apr; 15(7):. PubMed ID: 37046840 [TBL] [Abstract][Full Text] [Related]
24. The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images. Zhao XY; Wu X; Li FF; Li Y; Huang WH; Huang K; He XY; Fan W; Wu Z; Chen ML; Li J; Luo ZL; Su J; Xie B; Zhao S J Med Syst; 2019 Jul; 43(8):283. PubMed ID: 31300897 [TBL] [Abstract][Full Text] [Related]
25. Deep Learning-Based Transfer Learning for Classification of Skin Cancer. Jain S; Singhania U; Tripathy B; Nasr EA; Aboudaif MK; Kamrani AK Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884146 [TBL] [Abstract][Full Text] [Related]
26. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study. Faes L; Wagner SK; Fu DJ; Liu X; Korot E; Ledsam JR; Back T; Chopra R; Pontikos N; Kern C; Moraes G; Schmid MK; Sim D; Balaskas K; Bachmann LM; Denniston AK; Keane PA Lancet Digit Health; 2019 Sep; 1(5):e232-e242. PubMed ID: 33323271 [TBL] [Abstract][Full Text] [Related]
27. Deep learning for dermatologists: Part I. Fundamental concepts. Murphree DH; Puri P; Shamim H; Bezalel SA; Drage LA; Wang M; Pittelkow MR; Carter RE; Davis MDP; Bridges AG; Mangold AR; Yiannias JA; Tollefson MM; Lehman JS; Meves A; Otley CC; Sokumbi O; Hall MR; Comfere N J Am Acad Dermatol; 2022 Dec; 87(6):1343-1351. PubMed ID: 32434009 [TBL] [Abstract][Full Text] [Related]
28. Prediction of melanoma evolution in melanocytic nevi via artificial intelligence: A call for prospective data. Sondermann W; Utikal JS; Enk AH; Schadendorf D; Klode J; Hauschild A; Weichenthal M; French LE; Berking C; Schilling B; Haferkamp S; Fröhling S; von Kalle C; Brinker TJ Eur J Cancer; 2019 Sep; 119():30-34. PubMed ID: 31401471 [TBL] [Abstract][Full Text] [Related]
29. Classification of skin cancer using convolutional neural networks analysis of Raman spectra. Bratchenko IA; Bratchenko LA; Khristoforova YA; Moryatov AA; Kozlov SV; Zakharov VP Comput Methods Programs Biomed; 2022 Jun; 219():106755. PubMed ID: 35349907 [TBL] [Abstract][Full Text] [Related]
30. Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders. Han SS; Park I; Eun Chang S; Lim W; Kim MS; Park GH; Chae JB; Huh CH; Na JI J Invest Dermatol; 2020 Sep; 140(9):1753-1761. PubMed ID: 32243882 [TBL] [Abstract][Full Text] [Related]
31. Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks. Behara K; Bhero E; Agee JT Int J Mol Sci; 2024 Jan; 25(3):. PubMed ID: 38338828 [TBL] [Abstract][Full Text] [Related]
32. Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study. Han SS; Moon IJ; Kim SH; Na JI; Kim MS; Park GH; Park I; Kim K; Lim W; Lee JH; Chang SE PLoS Med; 2020 Nov; 17(11):e1003381. PubMed ID: 33237903 [TBL] [Abstract][Full Text] [Related]
33. Observational study investigating the level of support from a convolutional neural network in face and scalp lesions deemed diagnostically 'unclear' by dermatologists. Kommoss KS; Winkler JK; Mueller-Christmann C; Bardehle F; Toberer F; Stolz W; Kraenke T; Hofmann-Wellenhof R; Blum A; Enk A; Rosenberger A; Haenssle HA Eur J Cancer; 2023 May; 185():53-60. PubMed ID: 36963352 [TBL] [Abstract][Full Text] [Related]
34. Improving Skin cancer Management with ARTificial Intelligence (SMARTI): protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting. Felmingham C; MacNamara S; Cranwell W; Williams N; Wada M; Adler NR; Ge Z; Sharfe A; Bowling A; Haskett M; Wolfe R; Mar V BMJ Open; 2022 Jan; 12(1):e050203. PubMed ID: 34983756 [TBL] [Abstract][Full Text] [Related]
35. Unveiling the power of convolutional neural networks in melanoma diagnosis. Van Dieren L; Amar JZ; Geurs N; Quisenaerts T; Gillet C; Delforge B; D'heysselaer LC; Filip Thiessen EF; Cetrulo CL; Lellouch AG Eur J Dermatol; 2023 Oct; 33(5):495-505. PubMed ID: 38297925 [TBL] [Abstract][Full Text] [Related]
36. 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]
37. SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network. Azeem M; Kiani K; Mansouri T; Topping N Cancers (Basel); 2023 Dec; 16(1):. PubMed ID: 38201535 [TBL] [Abstract][Full Text] [Related]
38. Deep Learning Classifier with Patient's Metadata of Dermoscopic Images in Malignant Melanoma Detection. Ningrum DNA; Yuan SP; Kung WM; Wu CC; Tzeng IS; Huang CY; Li JY; Wang YC J Multidiscip Healthc; 2021; 14():877-885. PubMed ID: 33907414 [TBL] [Abstract][Full Text] [Related]
39. AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function. Pham TC; Luong CM; Hoang VD; Doucet A Sci Rep; 2021 Sep; 11(1):17485. PubMed ID: 34471174 [TBL] [Abstract][Full Text] [Related]
40. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network. Han SS; Park GH; Lim W; Kim MS; Na JI; Park I; Chang SE PLoS One; 2018; 13(1):e0191493. PubMed ID: 29352285 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]