117 related articles for article (PubMed ID: 32570590)
1. Classification of Histologic Images Using a Single Staining: Experiments with Deep Learning on Deconvolved Images.
Della Mea V; Pilutti D
Stud Health Technol Inform; 2020 Jun; 270():1223-1224. PubMed ID: 32570590
[TBL] [Abstract][Full Text] [Related]
2. Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach.
Van Eycke YR; Balsat C; Verset L; Debeir O; Salmon I; Decaestecker C
Med Image Anal; 2018 Oct; 49():35-45. PubMed ID: 30081241
[TBL] [Abstract][Full Text] [Related]
3. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P
JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.
Steiner DF; MacDonald R; Liu Y; Truszkowski P; Hipp JD; Gammage C; Thng F; Peng L; Stumpe MC
Am J Surg Pathol; 2018 Dec; 42(12):1636-1646. PubMed ID: 30312179
[TBL] [Abstract][Full Text] [Related]
7. Colorization of H&E stained tissue using Deep Learning.
Samsi S; Jones M; Kepner J; Reuther A
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():640-643. PubMed ID: 30440478
[TBL] [Abstract][Full Text] [Related]
8. Adversarial Stain Transfer for Histopathology Image Analysis.
Bentaieb A; Hamarneh G
IEEE Trans Med Imaging; 2018 Mar; 37(3):792-802. PubMed ID: 29533895
[TBL] [Abstract][Full Text] [Related]
9. Impact of pre-analytical variables on deep learning accuracy in histopathology.
Jones AD; Graff JP; Darrow M; Borowsky A; Olson KA; Gandour-Edwards R; Datta Mitra A; Wei D; Gao G; Durbin-Johnson B; Rashidi HH
Histopathology; 2019 Jul; 75(1):39-53. PubMed ID: 30801768
[TBL] [Abstract][Full Text] [Related]
10. MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Gandomkar Z; Brennan PC; Mello-Thoms C
Artif Intell Med; 2018 Jun; 88():14-24. PubMed ID: 29705552
[TBL] [Abstract][Full Text] [Related]
11. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
Bulten W; Bándi P; Hoven J; Loo RV; Lotz J; Weiss N; Laak JV; Ginneken BV; Hulsbergen-van de Kaa C; Litjens G
Sci Rep; 2019 Jan; 9(1):864. PubMed ID: 30696866
[TBL] [Abstract][Full Text] [Related]
12. Automated annotations of epithelial cells and stroma in hematoxylin-eosin-stained whole-slide images using cytokeratin re-staining.
Brázdil T; Gallo M; Nenutil R; Kubanda A; Toufar M; Holub P
J Pathol Clin Res; 2022 Mar; 8(2):129-142. PubMed ID: 34716754
[TBL] [Abstract][Full Text] [Related]
13. Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides.
Jørgensen AS; Rasmussen AM; Andersen NKM; Andersen SK; Emborg J; Røge R; Østergaard LR
Cytometry A; 2017 Aug; 91(8):785-793. PubMed ID: 28727286
[TBL] [Abstract][Full Text] [Related]
14. An adaptive digital stain separation method for deep learning-based automatic cell profile counts.
Dave P; Alahmari S; Goldgof D; Hall LO; Morera H; Mouton PR
J Neurosci Methods; 2021 Apr; 354():109102. PubMed ID: 33607171
[TBL] [Abstract][Full Text] [Related]
15. Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map.
Naylor P; Lae M; Reyal F; Walter T
IEEE Trans Med Imaging; 2019 Feb; 38(2):448-459. PubMed ID: 30716022
[TBL] [Abstract][Full Text] [Related]
16. Pathologist-level classification of histopathological melanoma images with deep neural networks.
Hekler A; Utikal JS; Enk AH; Berking C; Klode J; Schadendorf D; Jansen P; Franklin C; Holland-Letz T; Krahl D; von Kalle C; Fröhling S; Brinker TJ
Eur J Cancer; 2019 Jul; 115():79-83. PubMed ID: 31129383
[TBL] [Abstract][Full Text] [Related]
17. Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology.
Salvi M; Michielli N; Molinari F
Comput Methods Programs Biomed; 2020 Sep; 193():105506. PubMed ID: 32353672
[TBL] [Abstract][Full Text] [Related]
18. Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study.
Wies C; Schneider L; Haggenmüller S; Bucher TC; Hobelsberger S; Heppt MV; Ferrara G; Krieghoff-Henning EI; Brinker TJ
PLoS One; 2024; 19(1):e0297146. PubMed ID: 38241314
[TBL] [Abstract][Full Text] [Related]
19. Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning.
Achi HE; Belousova T; Chen L; Wahed A; Wang I; Hu Z; Kanaan Z; Rios A; Nguyen AND
Ann Clin Lab Sci; 2019 Mar; 49(2):153-160. PubMed ID: 31028058
[TBL] [Abstract][Full Text] [Related]
20. Stain Specific Standardization of Whole-Slide Histopathological Images.
Bejnordi BE; Litjens G; Timofeeva N; Otte-Höller I; Homeyer A; Karssemeijer N; van der Laak JA
IEEE Trans Med Imaging; 2016 Feb; 35(2):404-15. PubMed ID: 26353368
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
