BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

2040 related articles for article (PubMed ID: 32484086)

  • 21. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
    Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
    IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images.
    Marchetti MA; Codella NCF; Dusza SW; Gutman DA; Helba B; Kalloo A; Mishra N; Carrera C; Celebi ME; DeFazio JL; Jaimes N; Marghoob AA; Quigley E; Scope A; Yélamos O; Halpern AC;
    J Am Acad Dermatol; 2018 Feb; 78(2):270-277.e1. PubMed ID: 28969863
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.
    Tognetti L; Bonechi S; Andreini P; Bianchini M; Scarselli F; Cevenini G; Moscarella E; Farnetani F; Longo C; Lallas A; Carrera C; Puig S; Tiodorovic D; Perrot JL; Pellacani G; Argenziano G; Cinotti E; Cataldo G; Balistreri A; Mecocci A; Gori M; Rubegni P; Cartocci A
    J Dermatol Sci; 2021 Feb; 101(2):115-122. PubMed ID: 33358096
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?
    Aractingi S; Pellacani G
    Eur J Dermatol; 2019 Apr; 29(S1):4-7. PubMed ID: 31017580
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
    Ahn E; Kim J; Bi L; Kumar A; Li C; Fulham M; Feng DD
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1685-1693. PubMed ID: 28092585
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network.
    Li Y; Shen L
    Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29439500
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. S
    Alam MJ; Mohammad MS; Hossain MAF; Showmik IA; Raihan MS; Ahmed S; Mahmud T
    Comput Biol Med; 2022 Nov; 150():106148. PubMed ID: 36252363
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification.
    Thapar P; Rakhra M; Cazzato G; Hossain MS
    J Healthc Eng; 2022; 2022():1709842. PubMed ID: 35480147
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. 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]  

  • 36. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis.
    Fujisawa Y; Otomo Y; Ogata Y; Nakamura Y; Fujita R; Ishitsuka Y; Watanabe R; Okiyama N; Ohara K; Fujimoto M
    Br J Dermatol; 2019 Feb; 180(2):373-381. PubMed ID: 29953582
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population.
    Wang SQ; Zhang XY; Liu J; Tao C; Zhu CY; Shu C; Xu T; Jin HZ
    Chin Med J (Engl); 2020 Sep; 133(17):2027-2036. PubMed ID: 32826613
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Review of medical image recognition technologies to detect melanomas using neural networks.
    Efimenko M; Ignatev A; Koshechkin K
    BMC Bioinformatics; 2020 Sep; 21(Suppl 11):270. PubMed ID: 32921304
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Hair detection and lesion segmentation in dermoscopic images using domain knowledge.
    Pathan S; Prabhu KG; Siddalingaswamy PC
    Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Active Contours Based Segmentation and Lesion Periphery Analysis For Characterization of Skin Lesions in Dermoscopy Images.
    Riaz F; Naeem S; Nawaz R; Coimbra MT
    IEEE J Biomed Health Inform; 2019 Mar; 23(2):489-500. PubMed ID: 29993589
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 102.