160 related articles for article (PubMed ID: 25354901)
1. 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]
2. New morphological features for grading pancreatic ductal adenocarcinomas.
Song JW; Lee JH
Biomed Res Int; 2013; 2013():175271. PubMed ID: 23984321
[TBL] [Abstract][Full Text] [Related]
3. Computer-assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis.
Momeni-Boroujeni A; Yousefi E; Somma J
Cancer Cytopathol; 2017 Dec; 125(12):926-933. PubMed ID: 28885766
[TBL] [Abstract][Full Text] [Related]
4. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W; Ware A; Basaza-Ejiri AH; Obungoloch J
Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
5. Robust Cell Detection and Segmentation for Image Cytometry Reveal Th17 Cell Heterogeneity.
Tsujikawa T; Thibault G; Azimi V; Sivagnanam S; Banik G; Means C; Kawashima R; Clayburgh DR; Gray JW; Coussens LM; Chang YH
Cytometry A; 2019 Apr; 95(4):389-398. PubMed ID: 30714674
[TBL] [Abstract][Full Text] [Related]
6. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
Bajwa MN; Malik MI; Siddiqui SA; Dengel A; Shafait F; Neumeier W; Ahmed S
BMC Med Inform Decis Mak; 2019 Jul; 19(1):136. PubMed ID: 31315618
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Multiview boosting digital pathology analysis of prostate cancer.
Kwak JT; Hewitt SM
Comput Methods Programs Biomed; 2017 Apr; 142():91-99. PubMed ID: 28325451
[TBL] [Abstract][Full Text] [Related]
9. Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.
Mahmoudi T; Kouzahkanan ZM; Radmard AR; Kafieh R; Salehnia A; Davarpanah AH; Arabalibeik H; Ahmadian A
Sci Rep; 2022 Feb; 12(1):3092. PubMed ID: 35197542
[TBL] [Abstract][Full Text] [Related]
10. Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis.
Turkki R; Linder N; Holopainen T; Wang Y; Grote A; Lundin M; Alitalo K; Lundin J
J Clin Pathol; 2015 Aug; 68(8):614-21. PubMed ID: 26021331
[TBL] [Abstract][Full Text] [Related]
11. Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
Gertych A; Ing N; Ma Z; Fuchs TJ; Salman S; Mohanty S; Bhele S; Velásquez-Vacca A; Amin MB; Knudsen BS
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2(Pt 2):197-208. PubMed ID: 26362074
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Automatic differential diagnosis of pancreatic serous and mucinous cystadenomas based on morphological features.
Song JW; Lee JH; Choi JH; Chun SJ
Comput Biol Med; 2013 Jan; 43(1):1-15. PubMed ID: 23200461
[TBL] [Abstract][Full Text] [Related]
14. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.
Wang CJ; Hamm CA; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Weinreb JC; Duncan JS; Chapiro J; Letzen B
Eur Radiol; 2019 Jul; 29(7):3348-3357. PubMed ID: 31093705
[TBL] [Abstract][Full Text] [Related]
15. Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.
Liang F; Qian P; Su KH; Baydoun A; Leisser A; Van Hedent S; Kuo JW; Zhao K; Parikh P; Lu Y; Traughber BJ; Muzic RF
Artif Intell Med; 2018 Aug; 90():34-41. PubMed ID: 30054121
[TBL] [Abstract][Full Text] [Related]
16. Assessment of dynamic contrast-enhanced magnetic resonance imaging in the differentiation of pancreatic ductal adenocarcinoma from other pancreatic solid lesions.
Liu K; Xie P; Peng W; Zhou Z
J Comput Assist Tomogr; 2014; 38(5):681-6. PubMed ID: 24943251
[TBL] [Abstract][Full Text] [Related]
17. Generating region proposals for histopathological whole slide image retrieval.
Ma Y; Jiang Z; Zhang H; Xie F; Zheng Y; Shi H; Zhao Y; Shi J
Comput Methods Programs Biomed; 2018 Jun; 159():1-10. PubMed ID: 29650303
[TBL] [Abstract][Full Text] [Related]
18. Automatic classification of tissue malignancy for breast carcinoma diagnosis.
Fondón I; Sarmiento A; García AI; Silvestre M; Eloy C; Polónia A; Aguiar P
Comput Biol Med; 2018 May; 96():41-51. PubMed ID: 29544146
[TBL] [Abstract][Full Text] [Related]
19. Automated detection and quantification of breast cancer brain metastases in an animal model using democratized machine learning tools.
Sikpa D; Fouquet JP; Lebel R; Diamandis P; Richer M; Lepage M
Sci Rep; 2019 Nov; 9(1):17333. PubMed ID: 31758004
[TBL] [Abstract][Full Text] [Related]
20. Cascade marker removal algorithm for thyroid ultrasound images.
Ying X; Zhang Y; Yu M; Wei X; Zhu J; Gao J; Liu Z; Shen H; Zhang R; Li X; Yu R
Med Biol Eng Comput; 2020 Nov; 58(11):2641-2656. PubMed ID: 32840765
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
