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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

658 related articles for article (PubMed ID: 30674442)

  • 21. 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]  

  • 22. Systematic review of dermoscopy and digital dermoscopy/ artificial intelligence for the diagnosis of melanoma.
    Rajpara SM; Botello AP; Townend J; Ormerod AD
    Br J Dermatol; 2009 Sep; 161(3):591-604. PubMed ID: 19302072
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Hyperspectral imaging in automated digital dermoscopy screening for melanoma.
    Hosking AM; Coakley BJ; Chang D; Talebi-Liasi F; Lish S; Lee SW; Zong AM; Moore I; Browning J; Jacques SL; Krueger JG; Kelly KM; Linden KG; Gareau DS
    Lasers Surg Med; 2019 Mar; 51(3):214-222. PubMed ID: 30653684
    [TBL] [Abstract][Full Text] [Related]  

  • 24. The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma.
    Menzies SW; Bischof L; Talbot H; Gutenev A; Avramidis M; Wong L; Lo SK; Mackellar G; Skladnev V; McCarthy W; Kelly J; Cranney B; Lye P; Rabinovitz H; Oliviero M; Blum A; Varol A; De'Ambrosis B; McCleod R; Koga H; Grin C; Braun R; Johr R
    Arch Dermatol; 2005 Nov; 141(11):1388-96. PubMed ID: 16301386
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Density-based parallel skin lesion border detection with webCL.
    Lemon J; Kockara S; Halic T; Mete M
    BMC Bioinformatics; 2015; 16 Suppl 13(Suppl 13):S5. PubMed ID: 26423836
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
    Baig R; Bibi M; Hamid A; Kausar S; Khalid S
    Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
    Combalia M; Codella N; Rotemberg V; Carrera C; Dusza S; Gutman D; Helba B; Kittler H; Kurtansky NR; Liopyris K; Marchetti MA; Podlipnik S; Puig S; Rinner C; Tschandl P; Weber J; Halpern A; Malvehy J
    Lancet Digit Health; 2022 May; 4(5):e330-e339. PubMed ID: 35461690
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
    Maron RC; Utikal JS; Hekler A; Hauschild A; Sattler E; Sondermann W; Haferkamp S; Schilling B; Heppt MV; Jansen P; Reinholz M; Franklin C; Schmitt L; Hartmann D; Krieghoff-Henning E; Schmitt M; Weichenthal M; von Kalle C; Fröhling S; Brinker TJ
    J Med Internet Res; 2020 Sep; 22(9):e18091. PubMed ID: 32915161
    [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. Assessment of SIAscopy in the triage of suspicious skin tumours.
    Sgouros D; Lallas A; Julian Y; Rigopoulos D; Zalaudek I; Longo C; Moscarella E; Simonetti V; Argenziano G
    Skin Res Technol; 2014 Nov; 20(4):440-4. PubMed ID: 24517201
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.
    Tschandl P; Rosendahl C; Akay BN; Argenziano G; Blum A; Braun RP; Cabo H; Gourhant JY; Kreusch J; Lallas A; Lapins J; Marghoob A; Menzies S; Neuber NM; Paoli J; Rabinovitz HS; Rinner C; Scope A; Soyer HP; Sinz C; Thomas L; Zalaudek I; Kittler H
    JAMA Dermatol; 2019 Jan; 155(1):58-65. PubMed ID: 30484822
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning.
    Vasanthakumari P; Romano RA; Rosa RGT; Salvio AG; Yakovlev V; Kurachi C; Hirshburg JM; Jo JA
    J Biomed Opt; 2022 Jun; 27(6):. PubMed ID: 35701871
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA).
    Rogers T; Marino ML; Dusza SW; Bajaj S; Usatine RP; Marchetti MA; Marghoob AA
    J Am Board Fam Med; 2016 Nov; 29(6):694-701. PubMed ID: 28076252
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition.
    Winkler JK; Sies K; Fink C; Toberer F; Enk A; Abassi MS; Fuchs T; Haenssle HA
    Eur J Cancer; 2021 Mar; 145():146-154. PubMed ID: 33465706
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions.
    Khodadad I; Shafiee J; Wong A; Kazemzadeh F; Arlette J
    J Cutan Med Surg; 2018; 22(6):583-590. PubMed ID: 30064263
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Evaluation of dermoscopic algorithm for seborrhoeic keratosis: a prospective study in 412 patients.
    Lin J; Han S; Cui L; Song Z; Gao M; Yang G; Fu Y; Liu X
    J Eur Acad Dermatol Venereol; 2014 Jul; 28(7):957-62. PubMed ID: 23980820
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computer-aided pattern classification system for dermoscopy images.
    Abbas Q; Celebi ME; Fondón I
    Skin Res Technol; 2012 Aug; 18(3):278-89. PubMed ID: 22093020
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review.
    Cui X; Wei R; Gong L; Qi R; Zhao Z; Chen H; Song K; Abdulrahman AAA; Wang Y; Chen JZS; Chen S; Zhao Y; Gao X
    J Am Acad Dermatol; 2019 Nov; 81(5):1176-1180. PubMed ID: 31255749
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 33.