205 related articles for article (PubMed ID: 37365659)
1. Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.
Carrillo-Perez F; Ortuno FM; Börjesson A; Rojas I; Herrera LJ
Cancer Imaging; 2023 Jun; 23(1):66. PubMed ID: 37365659
[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. A novel method for detection of pancreatic Ductal Adenocarcinoma using explainable machine learning.
Aslam M; Rajbdad F; Azmat S; Li Z; Boudreaux JP; Thiagarajan R; Yao S; Xu J
Comput Methods Programs Biomed; 2024 Mar; 245():108019. PubMed ID: 38237450
[TBL] [Abstract][Full Text] [Related]
4. A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma.
Qin X; Zhang M; Zhou C; Ran T; Pan Y; Deng Y; Xie X; Zhang Y; Gong T; Zhang B; Zhang L; Wang Y; Li Q; Wang D; Gao L; Zou D
Cancer Med; 2023 Aug; 12(16):17005-17017. PubMed ID: 37455599
[TBL] [Abstract][Full Text] [Related]
5. A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Calderon-Ramirez S; Murillo-Hernandez D; Rojas-Salazar K; Elizondo D; Yang S; Moemeni A; Molina-Cabello M
Med Biol Eng Comput; 2022 Apr; 60(4):1159-1175. PubMed ID: 35239108
[TBL] [Abstract][Full Text] [Related]
6. A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy.
Naito Y; Tsuneki M; Fukushima N; Koga Y; Higashi M; Notohara K; Aishima S; Ohike N; Tajiri T; Yamaguchi H; Fukumura Y; Kojima M; Hirabayashi K; Hamada Y; Norose T; Kai K; Omori Y; Sukeda A; Noguchi H; Uchino K; Itakura J; Okabe Y; Yamada Y; Akiba J; Kanavati F; Oda Y; Furukawa T; Yano H
Sci Rep; 2021 Apr; 11(1):8454. PubMed ID: 33875703
[TBL] [Abstract][Full Text] [Related]
7. Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.
Si K; Xue Y; Yu X; Zhu X; Li Q; Gong W; Liang T; Duan S
Theranostics; 2021; 11(4):1982-1990. PubMed ID: 33408793
[TBL] [Abstract][Full Text] [Related]
8. Large-scale pancreatic cancer detection via non-contrast CT and deep learning.
Cao K; Xia Y; Yao J; Han X; Lambert L; Zhang T; Tang W; Jin G; Jiang H; Fang X; Nogues I; Li X; Guo W; Wang Y; Fang W; Qiu M; Hou Y; Kovarnik T; Vocka M; Lu Y; Chen Y; Chen X; Liu Z; Zhou J; Xie C; Zhang R; Lu H; Hager GD; Yuille AL; Lu L; Shao C; Shi Y; Zhang Q; Liang T; Zhang L; Lu J
Nat Med; 2023 Dec; 29(12):3033-3043. PubMed ID: 37985692
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images.
Sebai M; Wang X; Wang T
Med Biol Eng Comput; 2020 Jul; 58(7):1603-1623. PubMed ID: 32445109
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning in Pancreatic Tissue: Identification of Anatomical Structures, Pancreatic Intraepithelial Neoplasia, and Ductal Adenocarcinoma.
Kriegsmann M; Kriegsmann K; Steinbuss G; Zgorzelski C; Kraft A; Gaida MM
Int J Mol Sci; 2021 May; 22(10):. PubMed ID: 34065423
[TBL] [Abstract][Full Text] [Related]
12. ROR1 and ROR2 expression in pancreatic cancer.
Liu D; Sharbeen G; Phillips P; ; Ford CE
BMC Cancer; 2021 Nov; 21(1):1199. PubMed ID: 34763666
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypes.
Zhao L; Zhao H; Yan H
BMC Cancer; 2018 May; 18(1):603. PubMed ID: 29843660
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses.
Kuwahara T; Hara K; Mizuno N; Haba S; Okuno N; Kuraishi Y; Fumihara D; Yanaidani T; Ishikawa S; Yasuda T; Yamada M; Onishi S; Yamada K; Tanaka T; Tajika M; Niwa Y; Yamaguchi R; Shimizu Y
Endoscopy; 2023 Feb; 55(2):140-149. PubMed ID: 35688454
[TBL] [Abstract][Full Text] [Related]
16. Perineural invasion detection in pancreatic ductal adenocarcinoma using artificial intelligence.
Borsekofsky S; Tsuriel S; Hagege RR; Hershkovitz D
Sci Rep; 2023 Aug; 13(1):13628. PubMed ID: 37604973
[TBL] [Abstract][Full Text] [Related]
17. Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning.
Zhou C; Jin Y; Chen Y; Huang S; Huang R; Wang Y; Zhao Y; Chen Y; Guo L; Liao J
Comput Med Imaging Graph; 2021 Mar; 88():101861. PubMed ID: 33497891
[TBL] [Abstract][Full Text] [Related]
18. Computer-aided diagnostics in digital pathology: automated evaluation of early-phase pancreatic cancer in mice.
Langer L; Binenbaum Y; Gugel L; Amit M; Gil Z; Dekel S
Int J Comput Assist Radiol Surg; 2015 Jul; 10(7):1043-54. PubMed ID: 25354901
[TBL] [Abstract][Full Text] [Related]
19. Identify potential clinical significance of long noncoding RNA forkhead box P4 antisense RNA 1 in patients with early stage pancreatic ductal adenocarcinoma.
Liu XG; Xu H; Chen M; Tan XY; Chen XF; Yang YG; Lin MZ; Liu GH; Liang XL; Qian YB; Yuan GJ; Chen MQ; Li WT; Miao HL; Li MY; Liao XW; Dai W; Chen NP
Cancer Med; 2020 Mar; 9(6):2062-2076. PubMed ID: 31991068
[TBL] [Abstract][Full Text] [Related]
20. ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.
Kaczmarzyk JR; Gupta R; Kurc TM; Abousamra S; Saltz JH; Koo PK
Comput Methods Programs Biomed; 2023 Sep; 239():107631. PubMed ID: 37271050
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
