BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 38353334)

  • 1. Optimized self-attention based cycle-consistent generative adversarial network adopted melanoma classification from dermoscopic images.
    Harini P; Madhavi NB; Latha SB; Sasikumar AN
    Microsc Res Tech; 2024 Jun; 87(6):1271-1285. PubMed ID: 38353334
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Self-attention-based generative adversarial network optimized with color harmony algorithm for brain tumor classification.
    S SP; A S; T K; S D
    Electromagn Biol Med; 2024 Apr; 43(1-2):31-45. PubMed ID: 38369844
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Infrared thermal images using PCSAN-Net-DBOA: An approach of breast cancer classification.
    Vijayarajan SM; Manoj Kumar D; Sudha G; Reddy AB
    Microsc Res Tech; 2024 Mar; ():. PubMed ID: 38501825
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
    Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
    Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
    Nida N; Irtaza A; Javed A; Yousaf MH; Mahmood MT
    Int J Med Inform; 2019 Apr; 124():37-48. PubMed ID: 30784425
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection.
    Ali R; Manikandan A; Lei R; Xu J
    Sci Rep; 2024 Apr; 14(1):9336. PubMed ID: 38653997
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Plant disease identification using contextual mask auto-encoder optimized with dynamic differential annealed optimization algorithm.
    Prasannakumar M; Latha K
    Microsc Res Tech; 2024 Mar; 87(3):484-494. PubMed ID: 37921010
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Clinical and Histopathologic Characteristics of Melanocytic Lesions on the Volar Skin Without Typical Dermoscopic Patterns.
    Mikoshiba Y; Minagawa A; Koga H; Yokokawa Y; Uhara H; Okuyama R
    JAMA Dermatol; 2019 May; 155(5):578-584. PubMed ID: 30865233
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection and diagnosis of melanoma skin cancers in dermoscopic images using pipelined internal module architecture (PIMA) method.
    Bharathi G; Malleswaran M; Muthupriya V
    Microsc Res Tech; 2023 Jun; 86(6):701-713. PubMed ID: 36860140
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differentiation of melanoma from benign mimics using the relative-color method.
    LeAnder R; Chindam P; Das M; Umbaugh SE
    Skin Res Technol; 2010 Aug; 16(3):297-304. PubMed ID: 20636998
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images.
    Oukil S; Kasmi R; Mokrani K; García-Zapirain B
    Skin Res Technol; 2022 Mar; 28(2):203-211. PubMed ID: 34779062
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications.
    Kumar KS; Suganthi N; Muppidi S; Kumar BS
    Artif Intell Med; 2022 Jul; 129():102299. PubMed ID: 35659386
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.