217 related articles for article (PubMed ID: 33618634)
1. Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies.
Kuklyte J; Fitzgerald J; Nelissen S; Wei H; Whelan A; Power A; Ahmad A; Miarka M; Gregson M; Maxwell M; Raji R; Lenihan J; Finn-Moloney E; Rafferty M; Cary M; Barale-Thomas E; O'Shea D
Toxicol Pathol; 2021 Jun; 49(4):815-842. PubMed ID: 33618634
[TBL] [Abstract][Full Text] [Related]
2. Identifying gross post-mortem organ images using a pre-trained convolutional neural network.
Garland J; Hu M; Kesha K; Glenn C; Morrow P; Stables S; Ondruschka B; Tse R
J Forensic Sci; 2021 Mar; 66(2):630-635. PubMed ID: 33105027
[TBL] [Abstract][Full Text] [Related]
3. Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks.
Krüger J; Ostwaldt AC; Spies L; Geisler B; Schlaefer A; Kitzler HH; Schippling S; Opfer R
Eur Radiol; 2022 Apr; 32(4):2798-2809. PubMed ID: 34643779
[TBL] [Abstract][Full Text] [Related]
4. Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.
Liu Y; Yang P; Pi Y; Jiang L; Zhong X; Cheng J; Xiang Y; Wei J; Li L; Yi Z; Cai H; Zhao Z
BMC Med Imaging; 2021 Sep; 21(1):131. PubMed ID: 34481459
[TBL] [Abstract][Full Text] [Related]
5. Antemortem detection of Parkinson's disease pathology in peripheral biopsies using artificial intelligence.
Signaevsky M; Marami B; Prastawa M; Tabish N; Iida MA; Zhang XF; Sawyer M; Duran I; Koenigsberg DG; Bryce CH; Chahine LM; Mollenhauer B; Mosovsky S; Riley L; Dave KD; Eberling J; Coffey CS; Adler CH; Serrano GE; White CL; Koll J; Fernandez G; Zeineh J; Cordon-Cardo C; Beach TG; Crary JF
Acta Neuropathol Commun; 2022 Feb; 10(1):21. PubMed ID: 35164870
[TBL] [Abstract][Full Text] [Related]
6. Detection of Intestinal Protozoa in Trichrome-Stained Stool Specimens by Use of a Deep Convolutional Neural Network.
Mathison BA; Kohan JL; Walker JF; Smith RB; Ardon O; Couturier MR
J Clin Microbiol; 2020 May; 58(6):. PubMed ID: 32295888
[TBL] [Abstract][Full Text] [Related]
7. Detecting breast cancer using artificial intelligence: Convolutional neural network.
Choudhury A; Perumalla S
Technol Health Care; 2021; 29(1):33-43. PubMed ID: 32444590
[TBL] [Abstract][Full Text] [Related]
8. Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks.
Liu Y; Bilodeau E; Pollack B; Batmanghelich K
Oral Oncol; 2022 Nov; 134():106109. PubMed ID: 36126604
[TBL] [Abstract][Full Text] [Related]
9. Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence.
Fell C; Mohammadi M; Morrison D; Arandjelović O; Syed S; Konanahalli P; Bell S; Bryson G; Harrison DJ; Harris-Birtill D
PLoS One; 2023; 18(3):e0282577. PubMed ID: 36888621
[TBL] [Abstract][Full Text] [Related]
10. Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study.
Schmitt M; Maron RC; Hekler A; Stenzinger A; Hauschild A; Weichenthal M; Tiemann M; Krahl D; Kutzner H; Utikal JS; Haferkamp S; Kather JN; Klauschen F; Krieghoff-Henning E; Fröhling S; von Kalle C; Brinker TJ
J Med Internet Res; 2021 Feb; 23(2):e23436. PubMed ID: 33528370
[TBL] [Abstract][Full Text] [Related]
11. MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology Studies.
Gámez Serna C; Romero-Palomo F; Arcadu F; Funk J; Schumacher V; Janowczyk A
J Pathol Inform; 2022; 13():100126. PubMed ID: 36268069
[TBL] [Abstract][Full Text] [Related]
12. Digital pathology and artificial intelligence.
Niazi MKK; Parwani AV; Gurcan MN
Lancet Oncol; 2019 May; 20(5):e253-e261. PubMed ID: 31044723
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence-Assisted Image Analysis of Acetaminophen-Induced Acute Hepatic Injury in Sprague-Dawley Rats.
Baek EB; Hwang JH; Park H; Lee BS; Son HY; Kim YB; Jun SY; Her J; Lee J; Cho JW
Diagnostics (Basel); 2022 Jun; 12(6):. PubMed ID: 35741291
[TBL] [Abstract][Full Text] [Related]
14. Use of Artificial Intelligence in the Classification of Elementary Oral Lesions from Clinical Images.
Gomes RFT; Schmith J; Figueiredo RM; Freitas SA; Machado GN; Romanini J; Carrard VC
Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36900902
[TBL] [Abstract][Full Text] [Related]
15. Classification of Melanocytic Lesions in Selected and Whole-Slide Images via Convolutional Neural Networks.
Hart SN; Flotte W; Norgan AP; Shah KK; Buchan ZR; Mounajjed T; Flotte TJ
J Pathol Inform; 2019; 10():5. PubMed ID: 30972224
[TBL] [Abstract][Full Text] [Related]
16. A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks.
Hussein M; González-Bueno Puyal J; Lines D; Sehgal V; Toth D; Ahmad OF; Kader R; Everson M; Lipman G; Fernandez-Sordo JO; Ragunath K; Esteban JM; Bisschops R; Banks M; Haefner M; Mountney P; Stoyanov D; Lovat LB; Haidry R
United European Gastroenterol J; 2022 Jul; 10(6):528-537. PubMed ID: 35521666
[TBL] [Abstract][Full Text] [Related]
17. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
[TBL] [Abstract][Full Text] [Related]
18. Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images.
Zhang Y; Chan S; Park VY; Chang KT; Mehta S; Kim MJ; Combs FJ; Chang P; Chow D; Parajuli R; Mehta RS; Lin CY; Chien SH; Chen JH; Su MY
Acad Radiol; 2022 Jan; 29 Suppl 1(Suppl 1):S135-S144. PubMed ID: 33317911
[TBL] [Abstract][Full Text] [Related]
19. Advancing glaucoma detection with convolutional neural networks: a paradigm shift in ophthalmology.
Haja SA; Mahadevappa V
Rom J Ophthalmol; 2023; 67(3):222-237. PubMed ID: 37876506
[TBL] [Abstract][Full Text] [Related]
20. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Haggenmüller S; Maron RC; Hekler A; Utikal JS; Barata C; Barnhill RL; Beltraminelli H; Berking C; Betz-Stablein B; Blum A; Braun SA; Carr R; Combalia M; Fernandez-Figueras MT; Ferrara G; Fraitag S; French LE; Gellrich FF; Ghoreschi K; Goebeler M; Guitera P; Haenssle HA; Haferkamp S; Heinzerling L; Heppt MV; Hilke FJ; Hobelsberger S; Krahl D; Kutzner H; Lallas A; Liopyris K; Llamas-Velasco M; Malvehy J; Meier F; Müller CSL; Navarini AA; Navarrete-Dechent C; Perasole A; Poch G; Podlipnik S; Requena L; Rotemberg VM; Saggini A; Sangueza OP; Santonja C; Schadendorf D; Schilling B; Schlaak M; Schlager JG; Sergon M; Sondermann W; Soyer HP; Starz H; Stolz W; Vale E; Weyers W; Zink A; Krieghoff-Henning E; Kather JN; von Kalle C; Lipka DB; Fröhling S; Hauschild A; Kittler H; Brinker TJ
Eur J Cancer; 2021 Oct; 156():202-216. PubMed ID: 34509059
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]