128 related articles for article (PubMed ID: 38519745)
1. Artificial intelligence algorithm accurately assesses oestrogen receptor immunohistochemistry in metastatic breast cancer cytology specimens: A pilot study.
Li BC; Hammond S; Parwani AV; Shen R
Cytopathology; 2024 Jul; 35(4):464-472. PubMed ID: 38519745
[TBL] [Abstract][Full Text] [Related]
2. Integrating and validating automated digital imaging analysis of estrogen receptor immunohistochemistry in a fully digital workflow for clinical use.
Shafi S; Kellough DA; Lujan G; Satturwar S; Parwani AV; Li Z
J Pathol Inform; 2022; 13():100122. PubMed ID: 36268080
[TBL] [Abstract][Full Text] [Related]
3. Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases.
Jung M; Song SG; Cho SI; Shin S; Lee T; Jung W; Lee H; Park J; Song S; Park G; Song H; Park S; Lee J; Kang M; Park J; Pereira S; Yoo D; Chung K; Ali SM; Kim SW
Breast Cancer Res; 2024 Feb; 26(1):31. PubMed ID: 38395930
[TBL] [Abstract][Full Text] [Related]
4. Artificial Intelligence-Aided Diagnosis of Breast Cancer Lymph Node Metastasis on Histologic Slides in a Digital Workflow.
Challa B; Tahir M; Hu Y; Kellough D; Lujan G; Sun S; Parwani AV; Li Z
Mod Pathol; 2023 Aug; 36(8):100216. PubMed ID: 37178923
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.
Ou YC; Tsao TY; Chang MC; Lin YS; Yang WL; Hang JF; Li CB; Lee CM; Yeh CH; Liu TJ
Cancer Cytopathol; 2022 Nov; 130(11):872-880. PubMed ID: 35727052
[TBL] [Abstract][Full Text] [Related]
6. A Fully Automated Artificial Intelligence System to Assist Pathologists' Diagnosis to Predict Histologically High-grade Urothelial Carcinoma from Digitized Urine Cytology Slides Using Deep Learning.
Tsuji K; Kaneko M; Harada Y; Fujihara A; Ueno K; Nakanishi M; Konishi E; Takamatsu T; Horiguchi G; Teramukai S; Ito-Ihara T; Ukimura O
Eur Urol Oncol; 2024 Apr; 7(2):258-265. PubMed ID: 38065702
[TBL] [Abstract][Full Text] [Related]
7. Automated imaging analysis of Ki-67 immunohistochemistry on whole slide images of cell blocks from pancreatic neuroendocrine neoplasms.
Shaker N; Shen R; Limbach AL; Satturwar S; Kobalka P; Ahmadian S; Sun S; Chen W; Lujan G; Esnakula A; Parwani A; Li Z
J Am Soc Cytopathol; 2024; 13(3):205-212. PubMed ID: 38433072
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.
Shamai G; Binenbaum Y; Slossberg R; Duek I; Gil Z; Kimmel R
JAMA Netw Open; 2019 Jul; 2(7):e197700. PubMed ID: 31348505
[TBL] [Abstract][Full Text] [Related]
9. Novel image analysis approach for quantifying expression of nuclear proteins assessed by immunohistochemistry: application to measurement of oestrogen and progesterone receptor levels in breast cancer.
Rexhepaj E; Brennan DJ; Holloway P; Kay EW; McCann AH; Landberg G; Duffy MJ; Jirstrom K; Gallagher WM
Breast Cancer Res; 2008; 10(5):R89. PubMed ID: 18947395
[TBL] [Abstract][Full Text] [Related]
10. Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics.
Abele N; Tiemann K; Krech T; Wellmann A; Schaaf C; Länger F; Peters A; Donner A; Keil F; Daifalla K; Mackens M; Mamilos A; Minin E; Krümmelbein M; Krause L; Stark M; Zapf A; Päpper M; Hartmann A; Lang T
Mod Pathol; 2023 Mar; 36(3):100033. PubMed ID: 36931740
[TBL] [Abstract][Full Text] [Related]
11. Comparison of the oestrogen and progesterone receptor status in primary breast carcinomas as evaluated by immunohistochemistry and immunocytochemistry: a consecutive series of 267 patients.
Domanski AM; Monsef N; Domanski HA; Grabau D; Fernö M
Cytopathology; 2013 Feb; 24(1):21-5. PubMed ID: 22783929
[TBL] [Abstract][Full Text] [Related]
12. A Validation Study of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry Digital Imaging Analysis and its Correlation with Human Epidermal Growth Factor Receptor 2 Fluorescence
Hartage R; Li AC; Hammond S; Parwani AV
J Pathol Inform; 2020; 11():2. PubMed ID: 32154039
[TBL] [Abstract][Full Text] [Related]
13. The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer.
Wu S; Yue M; Zhang J; Li X; Li Z; Zhang H; Wang X; Han X; Cai L; Shang J; Jia Z; Wang X; Li J; Liu Y
Mod Pathol; 2023 Mar; 36(3):100054. PubMed ID: 36788100
[TBL] [Abstract][Full Text] [Related]
14. Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study.
Yue M; Zhang J; Wang X; Yan K; Cai L; Tian K; Niu S; Han X; Yu Y; Huang J; Han D; Yao J; Liu Y
Virchows Arch; 2021 Sep; 479(3):443-449. PubMed ID: 34279719
[TBL] [Abstract][Full Text] [Related]
15. An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.
Pantanowitz L; Quiroga-Garza GM; Bien L; Heled R; Laifenfeld D; Linhart C; Sandbank J; Albrecht Shach A; Shalev V; Vecsler M; Michelow P; Hazelhurst S; Dhir R
Lancet Digit Health; 2020 Aug; 2(8):e407-e416. PubMed ID: 33328045
[TBL] [Abstract][Full Text] [Related]
16. Immunochemistry for oestrogen receptor, progesterone receptor and HER2 on cell blocks in primary breast carcinoma.
Kumar SK; Gupta N; Rajwanshi A; Joshi K; Singh G
Cytopathology; 2012 Jun; 23(3):181-6. PubMed ID: 21375607
[TBL] [Abstract][Full Text] [Related]
17. Determining HER2 Status by Artificial Intelligence: An Investigation of Primary, Metastatic, and HER2 Low Breast Tumors.
Palm C; Connolly CE; Masser R; Padberg Sgier B; Karamitopoulou E; Simon Q; Bode B; Tinguely M
Diagnostics (Basel); 2023 Jan; 13(1):. PubMed ID: 36611460
[TBL] [Abstract][Full Text] [Related]
18. Continuous measurement of breast tumour hormone receptor expression: a comparison of two computational pathology platforms.
Ahern TP; Beck AH; Rosner BA; Glass B; Frieling G; Collins LC; Tamimi RM
J Clin Pathol; 2017 May; 70(5):428-434. PubMed ID: 27729430
[TBL] [Abstract][Full Text] [Related]
19. Concordance in Breast Cancer Grading by Artificial Intelligence on Whole Slide Images Compares With a Multi-Institutional Cohort of Breast Pathologists.
Mantrala S; Ginter PS; Mitkari A; Joshi S; Prabhala H; Ramachandra V; Kini L; Idress R; D'Alfonso TM; Fineberg S; Jaffer S; Sattar AK; Chagpar AB; Wilson P; Singh K; Harigopal M; Koka D
Arch Pathol Lab Med; 2022 Nov; 146(11):1369-1377. PubMed ID: 35271701
[TBL] [Abstract][Full Text] [Related]
20. Application of automated image analysis reduces the workload of manual screening of sentinel lymph node biopsies in breast cancer.
Holten-Rossing H; Talman MM; Jylling AMB; Laenkholm AV; Kristensson M; Vainer B
Histopathology; 2017 Dec; 71(6):866-873. PubMed ID: 28677240
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
