998 related articles for article (PubMed ID: 31017653)
1. 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]
2. 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]
3. 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]
4. Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning.
Geijs DJ; Dooper S; Aswolinskiy W; Hillen LM; Amir AL; Litjens G
Med Image Anal; 2024 Apr; 93():103063. PubMed ID: 38194735
[TBL] [Abstract][Full Text] [Related]
5. Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features.
Lan X; Guo G; Wang X; Yan Q; Xue R; Li Y; Zhu J; Dong Z; Wang F; Li G; Wang X; Xu J; Jiang Y
Skin Res Technol; 2024 Jan; 30(1):e13571. PubMed ID: 38196164
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images.
Yacob F; Siarov J; Villiamsson K; Suvilehto JT; Sjöblom L; Kjellberg M; Neittaanmäki N
Sci Rep; 2023 May; 13(1):7555. PubMed ID: 37160953
[TBL] [Abstract][Full Text] [Related]
8. Classification of Basal Cell Carcinoma in Ex Vivo Confocal Microscopy Images from Freshly Excised Tissues Using a Deep Learning Algorithm.
Sendín-Martín M; Lara-Caro M; Harris U; Moronta M; Rossi A; Lee E; Chen CJ; Nehal K; Conejo-Mir Sánchez J; Pereyra-Rodríguez JJ; Jain M
J Invest Dermatol; 2022 May; 142(5):1291-1299.e2. PubMed ID: 34695413
[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. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
Ho C; Zhao Z; Chen XF; Sauer J; Saraf SA; Jialdasani R; Taghipour K; Sathe A; Khor LY; Lim KH; Leow WQ
Sci Rep; 2022 Feb; 12(1):2222. PubMed ID: 35140318
[TBL] [Abstract][Full Text] [Related]
11. Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.
Zheng T; Chen W; Li S; Quan H; Zou M; Zheng S; Zhao Y; Gao X; Cui X
Comput Med Imaging Graph; 2023 Sep; 108():102275. PubMed ID: 37567046
[TBL] [Abstract][Full Text] [Related]
12. Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning.
Wang L; Ding L; Liu Z; Sun L; Chen L; Jia R; Dai X; Cao J; Ye J
Br J Ophthalmol; 2020 Mar; 104(3):318-323. PubMed ID: 31302629
[TBL] [Abstract][Full Text] [Related]
13. SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images.
Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
EBioMedicine; 2024 Jan; 99():104908. PubMed ID: 38101298
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based framework for slide-based histopathological image analysis.
Kosaraju S; Park J; Lee H; Yang JW; Kang M
Sci Rep; 2022 Nov; 12(1):19075. PubMed ID: 36351997
[TBL] [Abstract][Full Text] [Related]
15. Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns.
Kimeswenger S; Tschandl P; Noack P; Hofmarcher M; Rumetshofer E; Kindermann H; Silye R; Hochreiter S; Kaltenbrunner M; Guenova E; Klambauer G; Hoetzenecker W
Mod Pathol; 2021 May; 34(5):895-903. PubMed ID: 33184470
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.
Khameneh FD; Razavi S; Kamasak M
Comput Biol Med; 2019 Jul; 110():164-174. PubMed ID: 31163391
[TBL] [Abstract][Full Text] [Related]
18. Deep learning for colon cancer histopathological images analysis.
Ben Hamida A; Devanne M; Weber J; Truntzer C; Derangère V; Ghiringhelli F; Forestier G; Wemmert C
Comput Biol Med; 2021 Sep; 136():104730. PubMed ID: 34375901
[TBL] [Abstract][Full Text] [Related]
19. Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study.
Vafaei Sadr A; Bülow R; von Stillfried S; Schmitz NEJ; Pilva P; Hölscher DL; Ha PP; Schweiker M; Boor P
Lancet Digit Health; 2024 Jan; 6(1):e58-e69. PubMed ID: 37996339
[TBL] [Abstract][Full Text] [Related]
20. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
