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 *

155 related articles for article (PubMed ID: 37017196)

  • 1. Deep learning-based semantic segmentation of non-melanocytic skin tumors in whole-slide histopathological images.
    Wang L; Shao A; Huang F; Liu Z; Wang Y; Huang X; Ye J
    Exp Dermatol; 2023 Jun; 32(6):831-839. PubMed ID: 37017196
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.
    Jiang YQ; Xiong JH; Li HY; Yang XH; Yu WT; Gao M; Zhao X; Ma YP; Zhang W; Guan YF; Gu H; Sun JF
    Br J Dermatol; 2020 Mar; 182(3):754-762. PubMed ID: 31017653
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.
    Zhou Y; Koyuncu C; Lu C; Grobholz R; Katz I; Madabhushi A; Janowczyk A
    Med Image Anal; 2023 Feb; 84():102702. PubMed ID: 36516556
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Whole-slide margin control through deep learning in Mohs micrographic surgery for basal cell carcinoma.
    van Zon MCM; van der Waa JD; Veta M; Krekels GAM
    Exp Dermatol; 2021 May; 30(5):733-738. PubMed ID: 33656186
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
    Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
    BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
    Ottom MA; Rahman HA; Dinov ID
    IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images.
    Li YJ; Chou HH; Lin PC; Shen MR; Hsieh SY
    J Transl Med; 2023 Oct; 21(1):731. PubMed ID: 37848862
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Teledermatology for diagnosing skin cancer in adults.
    Chuchu N; Dinnes J; Takwoingi Y; Matin RN; Bayliss SE; Davenport C; Moreau JF; Bassett O; Godfrey K; O'Sullivan C; Walter FM; Motley R; Deeks JJ; Williams HC;
    Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013193. PubMed ID: 30521686
    [TBL] [Abstract][Full Text] [Related]  

  • 9. VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images.
    Zhang S; Yuan Z; Zhou X; Wang H; Chen B; Wang Y
    Comput Methods Programs Biomed; 2024 Jun; 250():108178. PubMed ID: 38652995
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
    Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
    Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.
    Wu Y; Koyuncu CF; Toro P; Corredor G; Feng Q; Buzzy C; Old M; Teknos T; Connelly ST; Jordan RC; Lang Kuhs KA; Lu C; Lewis JS; Madabhushi A
    Oral Oncol; 2022 Aug; 131():105942. PubMed ID: 35689952
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Training With Uncertain Annotations for Semantic Segmentation of Basal Cell Carcinoma From Full-Field OCT Images.
    Fu LW; Liu CH; Jain M; Chen CJ; Wu YH; Huang SL; Chen HH
    IEEE Trans Med Imaging; 2024 Mar; 43(3):1060-1070. PubMed ID: 37874706
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation.
    Zhao Y; He S; Zhao D; Ju M; Zhen C; Dong Y; Zhang C; Wang L; Wang S; Che N
    BMJ Open; 2023 Jul; 13(7):e069181. PubMed ID: 37491086
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reflectance confocal microscopy for diagnosing keratinocyte skin cancers in adults.
    Dinnes J; Deeks JJ; Chuchu N; Saleh D; Bayliss SE; Takwoingi Y; Davenport C; Patel L; Matin RN; O'Sullivan C; Patalay R; Williams HC;
    Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013191. PubMed ID: 30521687
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.
    Fragoso-Garcia M; Wilm F; Bertram CA; Merz S; Schmidt A; Donovan T; Fuchs-Baumgartinger A; Bartel A; Marzahl C; Diehl L; Puget C; Maier A; Aubreville M; Breininger K; Klopfleisch R
    Vet Pathol; 2023 Nov; 60(6):865-875. PubMed ID: 37515411
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images.
    Bao Y; Zhang J; Zhao X; Zhou H; Chen Y; Jian J; Shi T; Gao X
    J Dermatolog Treat; 2022 Aug; 33(5):2571-2577. PubMed ID: 35112978
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
    Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
    Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer.
    Tekin E; Yazıcı Ç; Kusetogullari H; Tokat F; Yavariabdi A; Iheme LO; Çayır S; Bozaba E; Solmaz G; Darbaz B; Özsoy G; Ayaltı S; Kayhan CK; İnce Ü; Uzel B
    Sci Rep; 2023 Jan; 13(1):128. PubMed ID: 36599960
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.