154 related articles for article (PubMed ID: 37071058)
41. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
[TBL] [Abstract][Full Text] [Related]
42. A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images.
Kanavati F; Toyokawa G; Momosaki S; Takeoka H; Okamoto M; Yamazaki K; Takeo S; Iizuka O; Tsuneki M
Sci Rep; 2021 Apr; 11(1):8110. PubMed ID: 33854137
[TBL] [Abstract][Full Text] [Related]
43. [Pathological diagnosis of lung cancer based on deep transfer learning].
Zhao D; Che NY; Song ZG; Liu CC; Wang L; Shi HY; Dong YJ; Lin HF; Mu J; Ying L; Yang QC; Gao YN; Chen WS; Wang SH; Xu W; Jin ML
Zhonghua Bing Li Xue Za Zhi; 2020 Nov; 49(11):1120-1125. PubMed ID: 33152815
[No Abstract] [Full Text] [Related]
44. Optimised architecture-based grading system as an independent prognostic factor in resected lung adenocarcinoma.
Qiu JH; Hu GM; Zhang RZ; Hu M; Li Z; Zhang Y; Wu HF; Fu WJ; Zhang M; Feng YK; Niu L; Ren JL
J Clin Pathol; 2022 Mar; 75(3):176-184. PubMed ID: 33372106
[TBL] [Abstract][Full Text] [Related]
45. A Weak Supervision-based Framework for Automatic Lung Cancer Classification on Whole Slide Image.
Xu X; Hou R; Zhao W; Teng H; Sun J; Zhao J
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1372-1375. PubMed ID: 33018244
[TBL] [Abstract][Full Text] [Related]
46. 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]
47. Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.
Noorbakhsh J; Farahmand S; Foroughi Pour A; Namburi S; Caruana D; Rimm D; Soltanieh-Ha M; Zarringhalam K; Chuang JH
Nat Commun; 2020 Dec; 11(1):6367. PubMed ID: 33311458
[TBL] [Abstract][Full Text] [Related]
48. Deceptive learning in histopathology.
Shahamatdar S; Saeed-Vafa D; Linsley D; Khalil F; Lovinger K; Li L; McLeod HT; Ramachandran S; Serre T
Histopathology; 2024 Jul; 85(1):116-132. PubMed ID: 38556922
[TBL] [Abstract][Full Text] [Related]
49. A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma.
Zhao X; Wang X; Xia W; Li Q; Zhou L; Li Q; Zhang R; Cai J; Jian J; Fan L; Wang W; Bai H; Li Z; Xiao Y; Tang Y; Gao X; Liu S
Lung Cancer; 2020 Jul; 145():10-17. PubMed ID: 32387813
[TBL] [Abstract][Full Text] [Related]
50. Tumor cell proliferation (Ki-67) expression and its prognostic significance in histological subtypes of lung adenocarcinoma.
Li Z; Li F; Pan C; He Z; Pan X; Zhu Q; Wu W; Chen L
Lung Cancer; 2021 Apr; 154():69-75. PubMed ID: 33626488
[TBL] [Abstract][Full Text] [Related]
51. An ICD-Associated DAMP Gene signature predicts survival and immunotherapy response of patients with lung adenocarcinoma.
Wu Y; Li K; Liang S; Lou X; Li Y; Xu D; Wu Y; Wang Y; Cui W
Respir Res; 2023 May; 24(1):142. PubMed ID: 37259066
[TBL] [Abstract][Full Text] [Related]
52. Multi-omics analysis of genomics, epigenomics and transcriptomics for molecular subtypes and core genes for lung adenocarcinoma.
Zhao Y; Gao Y; Xu X; Zhou J; Wang H
BMC Cancer; 2021 Mar; 21(1):257. PubMed ID: 33750346
[TBL] [Abstract][Full Text] [Related]
53. Identification of a Four-Gene Signature Associated with the Prognosis Prediction of Lung Adenocarcinoma Based on Integrated Bioinformatics Analysis.
Wu Y; Yang L; Zhang L; Zheng X; Xu H; Wang K; Weng X
Genes (Basel); 2022 Jan; 13(2):. PubMed ID: 35205284
[TBL] [Abstract][Full Text] [Related]
54. A deep learning model for breast ductal carcinoma in situ classification in whole slide images.
Kanavati F; Ichihara S; Tsuneki M
Virchows Arch; 2022 May; 480(5):1009-1022. PubMed ID: 35076741
[TBL] [Abstract][Full Text] [Related]
55. Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer.
Hondelink LM; Hüyük M; Postmus PE; Smit VTHBM; Blom S; von der Thüsen JH; Cohen D
Histopathology; 2022 Mar; 80(4):635-647. PubMed ID: 34786761
[TBL] [Abstract][Full Text] [Related]
56. Identification of a 15 DNA Damage Repair-Related Gene Signature as a Prognostic Predictor for Lung Adenocarcinoma.
Gu L; Xu Y; Jian H
Comb Chem High Throughput Screen; 2022; 25(9):1437-1449. PubMed ID: 34279196
[TBL] [Abstract][Full Text] [Related]
57. Subtype classification based on t cell proliferation-related regulator genes and risk model for predicting outcomes of lung adenocarcinoma.
Yang Q; Zhu W; Gong H
Front Immunol; 2023; 14():1148483. PubMed ID: 37077919
[TBL] [Abstract][Full Text] [Related]
58. Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.
Silva-Rodríguez J; Colomer A; Sales MA; Molina R; Naranjo V
Comput Methods Programs Biomed; 2020 Oct; 195():105637. PubMed ID: 32653747
[TBL] [Abstract][Full Text] [Related]
59. Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.
Wang X; Zhang L; Yang X; Tang L; Zhao J; Chen G; Li X; Yan S; Li S; Yang Y; Kang Y; Li Q; Wu N
Eur J Radiol; 2020 Aug; 129():109150. PubMed ID: 32604042
[TBL] [Abstract][Full Text] [Related]
60. A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
Jiang H; Xu S; Chen C
BMC Cancer; 2020 Aug; 20(1):782. PubMed ID: 32819300
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]