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 *

244 related articles for article (PubMed ID: 33247560)

  • 1. Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues.
    Gareau DS; Browning J; Correa Da Rosa J; Suarez-Farinas M; Lish S; Zong AM; Firester B; Vrattos C; Renert-Yuval Y; Gamboa M; Vallone MG; Barragán-Estudillo ZF; Tamez-Peña AL; Montoya J; Jesús-Silva MA; Carrera C; Malvehy J; Puig S; Marghoob A; Carucci JA; Krueger JG
    J Biomed Opt; 2020 Nov; 25(11):. PubMed ID: 33247560
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs: Laboratory and prospective observational studies.
    Walker BN; Rehg JM; Kalra A; Winters RM; Drews P; Dascalu J; David EO; Dascalu A
    EBioMedicine; 2019 Feb; 40():176-183. PubMed ID: 30674442
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. The Impact of Melanoma Imaging Biomarker Cues on Detection Sensitivity and Specificity in Melanoma versus Clinically Atypical Nevi.
    Agüero R; Buchanan KL; Navarrete-Dechent C; Marghoob AA; Stein JA; Landy MS; Leachman SA; Linden KG; Garcet S; Krueger JG; Gareau DS
    Cancers (Basel); 2024 Sep; 16(17):. PubMed ID: 39272935
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Digital imaging biomarkers feed machine learning for melanoma screening.
    Gareau DS; Correa da Rosa J; Yagerman S; Carucci JA; Gulati N; Hueto F; DeFazio JL; Suárez-Fariñas M; Marghoob A; Krueger JG
    Exp Dermatol; 2017 Jul; 26(7):615-618. PubMed ID: 27783441
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
    Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
    R D S; A S
    Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
    Yu Z; Jiang X; Zhou F; Qin J; Ni D; Chen S; Lei B; Wang T
    IEEE Trans Biomed Eng; 2019 Apr; 66(4):1006-1016. PubMed ID: 30130171
    [TBL] [Abstract][Full Text] [Related]  

  • 15. From Deep Learning Towards Finding Skin Lesion Biomarkers.
    Li X; Wu J; Chen EZ; Jiang H
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2797-2800. PubMed ID: 31946474
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Melanoma detection by analysis of clinical images using convolutional neural network.
    Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Jafari MH; Ward K; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1373-1376. PubMed ID: 28268581
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
    Marchetti MA; Liopyris K; Dusza SW; Codella NCF; Gutman DA; Helba B; Kalloo A; Halpern AC;
    J Am Acad Dermatol; 2020 Mar; 82(3):622-627. PubMed ID: 31306724
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.
    Naeem A; Anees T; Fiza M; Naqvi RA; Lee SW
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957209
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection.
    Wang Y; Cai J; Louie DC; Wang ZJ; Lee TK
    Comput Biol Med; 2021 Oct; 137():104812. PubMed ID: 34507158
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.