208 related articles for article (PubMed ID: 29572387)
1. Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks.
Wu M; Yan C; Liu H; Liu Q
Biosci Rep; 2018 Jun; 38(3):. PubMed ID: 29572387
[TBL] [Abstract][Full Text] [Related]
2. Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks.
Teramoto A; Tsukamoto T; Kiriyama Y; Fujita H
Biomed Res Int; 2017; 2017():4067832. PubMed ID: 28884120
[TBL] [Abstract][Full Text] [Related]
3. [Cytology of ovarian epithelial tumors].
Otsuki T; Yaegashi N
Nihon Rinsho; 2004 Oct; 62 Suppl 10():503-6. PubMed ID: 15535296
[No Abstract] [Full Text] [Related]
4. Automatic classification of cervical cancer from cytological images by using convolutional neural network.
Wu M; Yan C; Liu H; Liu Q; Yin Y
Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341239
[TBL] [Abstract][Full Text] [Related]
5. [Pathological diagnosis of ovarian cancer].
Yamabe H
Nihon Rinsho; 2004 Oct; 62 Suppl 10():507-10. PubMed ID: 15535297
[No Abstract] [Full Text] [Related]
6. Classification of teeth in cone-beam CT using deep convolutional neural network.
Miki Y; Muramatsu C; Hayashi T; Zhou X; Hara T; Katsumata A; Fujita H
Comput Biol Med; 2017 Jan; 80():24-29. PubMed ID: 27889430
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning.
Nishio M; Sugiyama O; Yakami M; Ueno S; Kubo T; Kuroda T; Togashi K
PLoS One; 2018; 13(7):e0200721. PubMed ID: 30052644
[TBL] [Abstract][Full Text] [Related]
8. Cytopathology of ovarian lesions: the intraoperative approach.
Jiménez-Ayala M; Jiménez-Ayala Portillo B
Monogr Clin Cytol; 2011; 20():60-76. PubMed ID: 21160249
[No Abstract] [Full Text] [Related]
9. [The cytological classification of ovarian tumors].
Ali-Zade VA
Arkh Patol; 1990; 52(8):23-8. PubMed ID: 2177967
[TBL] [Abstract][Full Text] [Related]
10. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
11. Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Sharma H; Zerbe N; Klempert I; Hellwich O; Hufnagl P
Comput Med Imaging Graph; 2017 Nov; 61():2-13. PubMed ID: 28676295
[TBL] [Abstract][Full Text] [Related]
12. Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images.
Wu M; Cui G; Lv S; Chen L; Tian Z; Yang M; Bai W
Front Oncol; 2023; 13():1154200. PubMed ID: 37427129
[TBL] [Abstract][Full Text] [Related]
13. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.
Treder M; Lauermann JL; Eter N
Graefes Arch Clin Exp Ophthalmol; 2018 Nov; 256(11):2053-2060. PubMed ID: 30091055
[TBL] [Abstract][Full Text] [Related]
15. Diagnosis of ovarian carcinoma cell type is highly reproducible: a transcanadian study.
Köbel M; Kalloger SE; Baker PM; Ewanowich CA; Arseneau J; Zherebitskiy V; Abdulkarim S; Leung S; Duggan MA; Fontaine D; Parker R; Huntsman DG; Gilks CB
Am J Surg Pathol; 2010 Jul; 34(7):984-93. PubMed ID: 20505499
[TBL] [Abstract][Full Text] [Related]
16. Identification of intranuclear inclusions is useful for the cytological diagnosis of ovarian clear cell carcinoma.
Naka M; Ohishi Y; Kaku T; Watanabe S; Tamiya S; Ookubo F; Kato K; Oda Y; Sugishima S
Diagn Cytopathol; 2015 Nov; 43(11):879-84. PubMed ID: 26219930
[TBL] [Abstract][Full Text] [Related]
17. Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.
Antonio VAA; Ono N; Saito A; Sato T; Altaf-Ul-Amin M; Kanaya S
Int J Comput Assist Radiol Surg; 2018 Dec; 13(12):1905-1913. PubMed ID: 30159833
[TBL] [Abstract][Full Text] [Related]
18. Seromucinous ovarian tumor A comparison with the rest of ovarian epithelial tumors.
Karpathiou G; Chauleur C; Corsini T; Venet M; Habougit C; Honeyman F; Forest F; Peoc'h M
Ann Diagn Pathol; 2017 Apr; 27():28-33. PubMed ID: 28325358
[TBL] [Abstract][Full Text] [Related]
19. Differentiation of epithelial ovarian cancer subtypes by use of imaging and clinical data: a detailed analysis.
Tanaka YO; Okada S; Satoh T; Matsumoto K; Oki A; Saida T; Yoshikawa H; Minami M
Cancer Imaging; 2016 Feb; 16():3. PubMed ID: 26873307
[TBL] [Abstract][Full Text] [Related]
20. Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.
Teramoto A; Tsukamoto T; Yamada A; Kiriyama Y; Imaizumi K; Saito K; Fujita H
PLoS One; 2020; 15(3):e0229951. PubMed ID: 32134949
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]