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 *

207 related articles for article (PubMed ID: 37358994)

  • 21. DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images.
    Wang KN; Zhuang S; Ran QY; Zhou P; Hua J; Zhou GQ; He X
    Med Image Anal; 2023 Jul; 87():102832. PubMed ID: 37148864
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron
    Lai Z; Deng H
    Comput Intell Neurosci; 2018; 2018():2061516. PubMed ID: 30298088
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.
    Han SS; Kim MS; Lim W; Park GH; Park I; Chang SE
    J Invest Dermatol; 2018 Jul; 138(7):1529-1538. PubMed ID: 29428356
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Effective diagnostic model construction based on discriminative breast ultrasound image regions using deep feature extraction.
    Yu H; Sun H; Li J; Shi L; Bao N; Li H; Qian W; Zhou S
    Med Phys; 2021 Jun; 48(6):2920-2928. PubMed ID: 33690962
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Enhancing Dermatological Diagnostics with EfficientNet: A Deep Learning Approach.
    Manole I; Butacu AI; Bejan RN; Tiplica GS
    Bioengineering (Basel); 2024 Aug; 11(8):. PubMed ID: 39199768
    [No Abstract]   [Full Text] [Related]  

  • 26. Skin lesion classification based on two-modal images using a multi-scale fully-shared fusion network.
    Yang Y; Xie F; Zhang H; Wang J; Liu J; Zhang Y; Ding H
    Comput Methods Programs Biomed; 2023 Feb; 229():107315. PubMed ID: 36586177
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Classification of skin lesions using transfer learning and augmentation with Alex-net.
    Hosny KM; Kassem MA; Foaud MM
    PLoS One; 2019; 14(5):e0217293. PubMed ID: 31112591
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Domain-adaptive denoising network for low-dose CT via noise estimation and transfer learning.
    Wang J; Tang Y; Wu Z; Tsui BMW; Chen W; Yang X; Zheng J; Li M
    Med Phys; 2023 Jan; 50(1):74-88. PubMed ID: 36018732
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning.
    Jinnai S; Yamazaki N; Hirano Y; Sugawara Y; Ohe Y; Hamamoto R
    Biomolecules; 2020 Jul; 10(8):. PubMed ID: 32751349
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MDFF-Net: A multi-dimensional feature fusion network for breast histopathology image classification.
    Xu C; Yi K; Jiang N; Li X; Zhong M; Zhang Y
    Comput Biol Med; 2023 Oct; 165():107385. PubMed ID: 37633086
    [TBL] [Abstract][Full Text] [Related]  

  • 31. An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model.
    De A; Mishra N; Chang HT
    PeerJ Comput Sci; 2024; 10():e1884. PubMed ID: 38435616
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 33. ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for Classification of Skin Cancer.
    Liu N; Rejeesh MR; Sundararaj V; Gunasundari B
    Expert Syst Appl; 2023 Jun; ():120719. PubMed ID: 37362255
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization.
    Qin C; Zheng B; Zeng J; Chen Z; Zhai Y; Genovese A; Piuri V; Scotti F
    Comput Methods Programs Biomed; 2023 Aug; 238():107601. PubMed ID: 37210926
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.
    Dinnes J; Deeks JJ; Chuchu N; Matin RN; Wong KY; Aldridge RB; Durack A; Gulati A; Chan SA; Johnston L; Bayliss SE; Leonardi-Bee J; Takwoingi Y; Davenport C; O'Sullivan C; Tehrani H; Williams HC;
    Cochrane Database Syst Rev; 2018 Dec; 12(12):CD011901. PubMed ID: 30521688
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework.
    Ali MU; Khalid M; Alshanbari H; Zafar A; Lee SW
    Bioengineering (Basel); 2023 Dec; 10(12):. PubMed ID: 38136020
    [TBL] [Abstract][Full Text] [Related]  

  • 37. DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework.
    Veeramani N; Jayaraman P; Krishankumar R; Ravichandran KS; Gandomi AH
    Sci Rep; 2024 Jan; 14(1):676. PubMed ID: 38182607
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Citrus green fruit detection
    Lu J; Yang R; Yu C; Lin J; Chen W; Wu H; Chen X; Lan Y; Wang W
    Front Plant Sci; 2022; 13():946154. PubMed ID: 36578336
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Skin Diseases Classification Using Deep Leaning Methods.
    UdriȘtoiu AL; Stanca AE; Ghenea AE; Vasile CM; Popescu M; UdriȘtoiu ȘC; Iacob AV; Castravete S; Gruionu LG; Gruionu G
    Curr Health Sci J; 2020; 46(2):136-140. PubMed ID: 32874685
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development of a light-weight deep learning model for cloud applications and remote diagnosis of skin cancers.
    Huang HW; Hsu BW; Lee CH; Tseng VS
    J Dermatol; 2021 Mar; 48(3):310-316. PubMed ID: 33211346
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.