124 related articles for article (PubMed ID: 37580019)
1. Deep Learning for Predicting Effect of Neoadjuvant Therapies in Non-Small Cell Lung Carcinomas With Histologic Images.
Terada K; Yoshizawa A; Liu X; Ito H; Hamaji M; Menju T; Date H; Bise R; Haga H
Mod Pathol; 2023 Nov; 36(11):100302. PubMed ID: 37580019
[TBL] [Abstract][Full Text] [Related]
2. Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.
Sadhwani A; Chang HW; Behrooz A; Brown T; Auvigne-Flament I; Patel H; Findlater R; Velez V; Tan F; Tekiela K; Wulczyn E; Yi ES; Mermel CH; Hanks D; Chen PC; Kulig K; Batenchuk C; Steiner DF; Cimermancic P
Sci Rep; 2021 Aug; 11(1):16605. PubMed ID: 34400666
[TBL] [Abstract][Full Text] [Related]
3. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study.
She Y; He B; Wang F; Zhong Y; Wang T; Liu Z; Yang M; Yu B; Deng J; Sun X; Wu C; Hou L; Zhu Y; Yang Y; Hu H; Dong D; Chen C; Tian J
EBioMedicine; 2022 Dec; 86():104364. PubMed ID: 36395737
[TBL] [Abstract][Full Text] [Related]
4. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
Song JH; Hong Y; Kim ER; Kim SH; Sohn I
J Gastroenterol; 2022 Sep; 57(9):654-666. PubMed ID: 35802259
[TBL] [Abstract][Full Text] [Related]
5. International Association for the Study of Lung Cancer Study of Reproducibility in Assessment of Pathologic Response in Resected Lung Cancers After Neoadjuvant Therapy.
Dacic S; Travis W; Redman M; Saqi A; Cooper WA; Borczuk A; Chung JH; Glass C; Lopez JM; Roden AC; Sholl L; Weissferdt A; Posadas J; Walker A; Zhu H; Wijeratne MT; Connolly C; Wynes M; Bota-Rabassedas N; Sanchez-Espiridion B; Lee JJ; Berezowska S; Chou TY; Kerr K; Nicholson A; Poleri C; Schalper KA; Tsao MS; Carbone DP; Ready N; Cascone T; Heymach J; Sepesi B; Shu C; Rizvi N; Sonett J; Altorki N; Provencio M; Bunn PA; Kris MG; Belani CP; Kelly K; Wistuba I;
J Thorac Oncol; 2023 Oct; 18(10):1290-1302. PubMed ID: 37702631
[TBL] [Abstract][Full Text] [Related]
6. Validation of interobserver agreement in lung cancer assessment: hematoxylin-eosin diagnostic reproducibility for non-small cell lung cancer: the 2004 World Health Organization classification and therapeutically relevant subsets.
Grilley-Olson JE; Hayes DN; Moore DT; Leslie KO; Wilkerson MD; Qaqish BF; Hayward MC; Cabanski CR; Yin X; Socinski MA; Stinchcombe TE; Thorne LB; Allen TC; Banks PM; Beasley MB; Borczuk AC; Cagle PT; Christensen R; Colby TV; Deblois GG; Elmberger G; Graziano P; Hart CF; Jones KD; Maia DM; Miller CR; Nance KV; Travis WD; Funkhouser WK
Arch Pathol Lab Med; 2013 Jan; 137(1):32-40. PubMed ID: 22583114
[TBL] [Abstract][Full Text] [Related]
7. Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts.
Fremond S; Andani S; Barkey Wolf J; Dijkstra J; Melsbach S; Jobsen JJ; Brinkhuis M; Roothaan S; Jurgenliemk-Schulz I; Lutgens LCHW; Nout RA; van der Steen-Banasik EM; de Boer SM; Powell ME; Singh N; Mileshkin LR; Mackay HJ; Leary A; Nijman HW; Smit VTHBM; Creutzberg CL; Horeweg N; Koelzer VH; Bosse T
Lancet Digit Health; 2023 Feb; 5(2):e71-e82. PubMed ID: 36496303
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study.
Veldhuizen GP; Röcken C; Behrens HM; Cifci D; Muti HS; Yoshikawa T; Arai T; Oshima T; Tan P; Ebert MP; Pearson AT; Calderaro J; Grabsch HI; Kather JN
Gastric Cancer; 2023 Sep; 26(5):708-720. PubMed ID: 37269416
[TBL] [Abstract][Full Text] [Related]
10. Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer.
Yuan P; Guo C; Li L; Ling Y; Guo L; Ying J
BMC Med; 2022 Oct; 20(1):403. PubMed ID: 36280845
[TBL] [Abstract][Full Text] [Related]
11. Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.
Mayer C; Ofek E; Fridrich DE; Molchanov Y; Yacobi R; Gazy I; Hayun I; Zalach J; Paz-Yaacov N; Barshack I
Mod Pathol; 2022 Dec; 35(12):1882-1887. PubMed ID: 36057739
[TBL] [Abstract][Full Text] [Related]
12. Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.
Fragoso-Garcia M; Wilm F; Bertram CA; Merz S; Schmidt A; Donovan T; Fuchs-Baumgartinger A; Bartel A; Marzahl C; Diehl L; Puget C; Maier A; Aubreville M; Breininger K; Klopfleisch R
Vet Pathol; 2023 Nov; 60(6):865-875. PubMed ID: 37515411
[TBL] [Abstract][Full Text] [Related]
13. Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.
Zhang H; Kalirai H; Acha-Sagredo A; Yang X; Zheng Y; Coupland SE
Transl Vis Sci Technol; 2020 Sep; 9(2):50. PubMed ID: 32953248
[TBL] [Abstract][Full Text] [Related]
14. Artificial Intelligence-Powered Prediction of
Terada Y; Takahashi T; Hayakawa T; Ono A; Kawata T; Isaka M; Muramatsu K; Tone K; Kodama H; Imai T; Notsu A; Mori K; Ohde Y; Nakajima T; Sugino T; Takahashi T
JCO Clin Cancer Inform; 2022 Sep; 6():e2200070. PubMed ID: 36162012
[TBL] [Abstract][Full Text] [Related]
15. Pathologic features of response to neoadjuvant anti-PD-1 in resected non-small-cell lung carcinoma: a proposal for quantitative immune-related pathologic response criteria (irPRC).
Cottrell TR; Thompson ED; Forde PM; Stein JE; Duffield AS; Anagnostou V; Rekhtman N; Anders RA; Cuda JD; Illei PB; Gabrielson E; Askin FB; Niknafs N; Smith KN; Velez MJ; Sauter JL; Isbell JM; Jones DR; Battafarano RJ; Yang SC; Danilova L; Wolchok JD; Topalian SL; Velculescu VE; Pardoll DM; Brahmer JR; Hellmann MD; Chaft JE; Cimino-Mathews A; Taube JM
Ann Oncol; 2018 Aug; 29(8):1853-1860. PubMed ID: 29982279
[TBL] [Abstract][Full Text] [Related]
16. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
Yamashita R; Long J; Longacre T; Peng L; Berry G; Martin B; Higgins J; Rubin DL; Shen J
Lancet Oncol; 2021 Jan; 22(1):132-141. PubMed ID: 33387492
[TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study.
Dacic S; Travis WD; Giltnane JM; Kos F; Abel J; Hilz S; Fujimoto J; Sholl L; Ritter J; Khalil F; Liu Y; Taylor-Weiner A; Resnick M; Yu H; Hirsch FR; Bunn PA; Carbone DP; Rusch V; Kwiatkowski DJ; Johnson BE; Lee JM; Hennek SR; Wapinski I; Nicholas A; Johnson A; Schulze K; Kris MG; Wistuba II
J Thorac Oncol; 2024 May; 19(5):719-731. PubMed ID: 38070597
[TBL] [Abstract][Full Text] [Related]
18. Agreement on Major Pathological Response in NSCLC Patients Receiving Neoadjuvant Chemotherapy.
Weissferdt A; Pataer A; Vaporciyan AA; Correa AM; Sepesi B; Moran CA; Wistuba II; Roth JA; Shewale JB; Heymach JV; Kalhor N; Cascone T; Hofstetter WL; Lee JJ; Swisher SG
Clin Lung Cancer; 2020 Jul; 21(4):341-348. PubMed ID: 32279936
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers.
Jin L; Shi F; Chun Q; Chen H; Ma Y; Wu S; Hameed NUF; Mei C; Lu J; Zhang J; Aibaidula A; Shen D; Wu J
Neuro Oncol; 2021 Jan; 23(1):44-52. PubMed ID: 32663285
[TBL] [Abstract][Full Text] [Related]
20. Utility of
Zhuang F; Haoran E; Huang J; Wu J; Xu L; Zhang L; Li Q; Li C; Zhao Y; Yang M; Ma M; She Y; Chen H; Luo Q; Zhao D; Chen C
Lung Cancer; 2023 Apr; 178():20-27. PubMed ID: 36764154
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
