180 related articles for article (PubMed ID: 33085623)
1. Measuring Domain Shift for Deep Learning in Histopathology.
Stacke K; Eilertsen G; Unger J; Lundstrom C
IEEE J Biomed Health Inform; 2021 Feb; 25(2):325-336. PubMed ID: 33085623
[TBL] [Abstract][Full Text] [Related]
2. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
3. Hospital-Agnostic Image Representation Learning in Digital Pathology.
Sikaroudi M; Rahnamayan S; Tizhoosh HR
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3055-3058. PubMed ID: 36086646
[TBL] [Abstract][Full Text] [Related]
4. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
Tellez D; Litjens G; Bándi P; Bulten W; Bokhorst JM; Ciompi F; van der Laak J
Med Image Anal; 2019 Dec; 58():101544. PubMed ID: 31466046
[TBL] [Abstract][Full Text] [Related]
5. Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology.
Otálora S; Atzori M; Andrearczyk V; Khan A; Müller H
Front Bioeng Biotechnol; 2019; 7():198. PubMed ID: 31508414
[TBL] [Abstract][Full Text] [Related]
6. Biased data, biased AI: deep networks predict the acquisition site of TCGA images.
Dehkharghanian T; Bidgoli AA; Riasatian A; Mazaheri P; Campbell CJV; Pantanowitz L; Tizhoosh HR; Rahnamayan S
Diagn Pathol; 2023 May; 18(1):67. PubMed ID: 37198691
[TBL] [Abstract][Full Text] [Related]
7. Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.
Xia T; Kumar A; Feng D; Kim J
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():644-647. PubMed ID: 30440479
[TBL] [Abstract][Full Text] [Related]
8. Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology.
Faryna K; van der Laak J; Litjens G
Comput Biol Med; 2024 Mar; 170():108018. PubMed ID: 38281317
[TBL] [Abstract][Full Text] [Related]
9. Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study.
Garrucho L; Kushibar K; Jouide S; Diaz O; Igual L; Lekadir K
Artif Intell Med; 2022 Oct; 132():102386. PubMed ID: 36207090
[TBL] [Abstract][Full Text] [Related]
10. NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Lal S; Das D; Alabhya K; Kanfade A; Kumar A; Kini J
Comput Biol Med; 2021 Jan; 128():104075. PubMed ID: 33190012
[TBL] [Abstract][Full Text] [Related]
11. The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.
Mårtensson G; Ferreira D; Granberg T; Cavallin L; Oppedal K; Padovani A; Rektorova I; Bonanni L; Pardini M; Kramberger MG; Taylor JP; Hort J; Snædal J; Kulisevsky J; Blanc F; Antonini A; Mecocci P; Vellas B; Tsolaki M; Kłoszewska I; Soininen H; Lovestone S; Simmons A; Aarsland D; Westman E
Med Image Anal; 2020 Dec; 66():101714. PubMed ID: 33007638
[TBL] [Abstract][Full Text] [Related]
12. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.
Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009
[TBL] [Abstract][Full Text] [Related]
13. TEM virus images: Benchmark dataset and deep learning classification.
Matuszewski DJ; Sintorn IM
Comput Methods Programs Biomed; 2021 Sep; 209():106318. PubMed ID: 34375851
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study.
Sikaroudi M; Safarpoor A; Ghojogh B; Shafiei S; Crowley M; Tizhoosh HR
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1400-1403. PubMed ID: 33018251
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.
Dolezal JM; Srisuwananukorn A; Karpeyev D; Ramesh S; Kochanny S; Cody B; Mansfield AS; Rakshit S; Bansal R; Bois MC; Bungum AO; Schulte JJ; Vokes EE; Garassino MC; Husain AN; Pearson AT
Nat Commun; 2022 Nov; 13(1):6572. PubMed ID: 36323656
[TBL] [Abstract][Full Text] [Related]
18. Generalized Fixation Invariant Nuclei Detection Through Domain Adaptation Based Deep Learning.
Valkonen M; Hognas G; Bova GS; Ruusuvuori P
IEEE J Biomed Health Inform; 2021 May; 25(5):1747-1757. PubMed ID: 33211668
[TBL] [Abstract][Full Text] [Related]
19. Response score of deep learning for out-of-distribution sample detection of medical images.
Gao L; Wu S
J Biomed Inform; 2020 Jul; 107():103442. PubMed ID: 32450299
[TBL] [Abstract][Full Text] [Related]
20. From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology.
Springenberg M; Frommholz A; Wenzel M; Weicken E; Ma J; Strodthoff N
Med Image Anal; 2023 Jul; 87():102809. PubMed ID: 37201221
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]