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You searched for subject:(Gleason grade). Showing records 1 – 7 of 7 total matches.

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University of New Orleans

1. MAMIDI, YASHWANTH KARTHIK KUMAR. Classification of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning.

Degree: MS, Computer Science, 2020, University of New Orleans

  Prostate cancer (PCa) is the second most common cancer in men in the US. Many Prostate cancers are Indolent and don’t result in cancer… (more)

Subjects/Keywords: Prostate Cancer; Gleason Grade; Machine Learning; Stacking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

MAMIDI, Y. K. K. (2020). Classification of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MAMIDI, YASHWANTH KARTHIK KUMAR. “Classification of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning.” 2020. Thesis, University of New Orleans. Accessed September 23, 2020. https://scholarworks.uno.edu/td/2757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MAMIDI, YASHWANTH KARTHIK KUMAR. “Classification of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning.” 2020. Web. 23 Sep 2020.

Vancouver:

MAMIDI YKK. Classification of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning. [Internet] [Thesis]. University of New Orleans; 2020. [cited 2020 Sep 23]. Available from: https://scholarworks.uno.edu/td/2757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MAMIDI YKK. Classification of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning. [Thesis]. University of New Orleans; 2020. Available from: https://scholarworks.uno.edu/td/2757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boston University

2. Chaniotakis, Sotiris. Digital image analysis for tumor cellularity and gleason grade to tumor volume analysis in prostate cancer.

Degree: MS, Medical Sciences, 2018, Boston University

 PURPOSE: This study was undertaken to compare HALO™ software image analysis measurements of cellularity with visual estimations from the pathologist and to outline a protocol… (more)

Subjects/Keywords: Pathology; Gleason grade; Gleason score; Cellularity; Image analysis; Prostate cancer; Tumor volume

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chaniotakis, S. (2018). Digital image analysis for tumor cellularity and gleason grade to tumor volume analysis in prostate cancer. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/31173

Chicago Manual of Style (16th Edition):

Chaniotakis, Sotiris. “Digital image analysis for tumor cellularity and gleason grade to tumor volume analysis in prostate cancer.” 2018. Masters Thesis, Boston University. Accessed September 23, 2020. http://hdl.handle.net/2144/31173.

MLA Handbook (7th Edition):

Chaniotakis, Sotiris. “Digital image analysis for tumor cellularity and gleason grade to tumor volume analysis in prostate cancer.” 2018. Web. 23 Sep 2020.

Vancouver:

Chaniotakis S. Digital image analysis for tumor cellularity and gleason grade to tumor volume analysis in prostate cancer. [Internet] [Masters thesis]. Boston University; 2018. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/2144/31173.

Council of Science Editors:

Chaniotakis S. Digital image analysis for tumor cellularity and gleason grade to tumor volume analysis in prostate cancer. [Masters Thesis]. Boston University; 2018. Available from: http://hdl.handle.net/2144/31173

3. Puyo, Stéphane. Recherche d’alternatives thérapeutiques aux taxanes dans les cancers de la prostate de hauts grades : identification d’une signature prédictive de la réponse à l’oxaliplatine : Research of therapeutic alternatives to taxanes for high grade prostate cancers : identification of a gene expression signature predicting response to oxaliplatin.

Degree: Docteur es, Sciences, technologie, santé. Biologie cellulaire et physiopathologie, 2011, Université de Bordeaux Segalen

Les cancers de la prostate sont classés en deux catégories. Les cancers de haut grade se distinguent des cancers de bas grade par une plus… (more)

Subjects/Keywords: Cancer de la prostate; Grade de Gleason; Oxaliplatine; Prédiction de réponse aux drogues; Prostate cancer; Gleason grade; Oxaliplatin; Drug response prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Puyo, S. (2011). Recherche d’alternatives thérapeutiques aux taxanes dans les cancers de la prostate de hauts grades : identification d’une signature prédictive de la réponse à l’oxaliplatine : Research of therapeutic alternatives to taxanes for high grade prostate cancers : identification of a gene expression signature predicting response to oxaliplatin. (Doctoral Dissertation). Université de Bordeaux Segalen. Retrieved from http://www.theses.fr/2011BOR21842

Chicago Manual of Style (16th Edition):

Puyo, Stéphane. “Recherche d’alternatives thérapeutiques aux taxanes dans les cancers de la prostate de hauts grades : identification d’une signature prédictive de la réponse à l’oxaliplatine : Research of therapeutic alternatives to taxanes for high grade prostate cancers : identification of a gene expression signature predicting response to oxaliplatin.” 2011. Doctoral Dissertation, Université de Bordeaux Segalen. Accessed September 23, 2020. http://www.theses.fr/2011BOR21842.

MLA Handbook (7th Edition):

Puyo, Stéphane. “Recherche d’alternatives thérapeutiques aux taxanes dans les cancers de la prostate de hauts grades : identification d’une signature prédictive de la réponse à l’oxaliplatine : Research of therapeutic alternatives to taxanes for high grade prostate cancers : identification of a gene expression signature predicting response to oxaliplatin.” 2011. Web. 23 Sep 2020.

Vancouver:

Puyo S. Recherche d’alternatives thérapeutiques aux taxanes dans les cancers de la prostate de hauts grades : identification d’une signature prédictive de la réponse à l’oxaliplatine : Research of therapeutic alternatives to taxanes for high grade prostate cancers : identification of a gene expression signature predicting response to oxaliplatin. [Internet] [Doctoral dissertation]. Université de Bordeaux Segalen; 2011. [cited 2020 Sep 23]. Available from: http://www.theses.fr/2011BOR21842.

Council of Science Editors:

Puyo S. Recherche d’alternatives thérapeutiques aux taxanes dans les cancers de la prostate de hauts grades : identification d’une signature prédictive de la réponse à l’oxaliplatine : Research of therapeutic alternatives to taxanes for high grade prostate cancers : identification of a gene expression signature predicting response to oxaliplatin. [Doctoral Dissertation]. Université de Bordeaux Segalen; 2011. Available from: http://www.theses.fr/2011BOR21842


University of Sydney

4. Chatterjee, Aritrick. Redefining the biophysical basis of contrast in diffusion-weighted MRI of the prostate .

Degree: 2016, University of Sydney

 Purpose: The study investigates the hypothesis that the clinically observed decrease in ADC with increasing prostate cancer Gleason grade can be attributed to an increasing… (more)

Subjects/Keywords: cellularity; Gleason grade; diffusion MRI; prostate; ADC; morphomtery

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chatterjee, A. (2016). Redefining the biophysical basis of contrast in diffusion-weighted MRI of the prostate . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chatterjee, Aritrick. “Redefining the biophysical basis of contrast in diffusion-weighted MRI of the prostate .” 2016. Thesis, University of Sydney. Accessed September 23, 2020. http://hdl.handle.net/2123/15400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chatterjee, Aritrick. “Redefining the biophysical basis of contrast in diffusion-weighted MRI of the prostate .” 2016. Web. 23 Sep 2020.

Vancouver:

Chatterjee A. Redefining the biophysical basis of contrast in diffusion-weighted MRI of the prostate . [Internet] [Thesis]. University of Sydney; 2016. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/2123/15400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chatterjee A. Redefining the biophysical basis of contrast in diffusion-weighted MRI of the prostate . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boston University

5. Ghleilib, Intisar Ali. The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance.

Degree: MS, Clinical Investigation, 2014, Boston University

 PURPOSE: To determine the accuracy of prostate biopsy Gleason score (GS) compared to prostatectomy GS. To determine whether a biopsy is a satisfactory diagnostic procedure… (more)

Subjects/Keywords: Oncology; Active surveillance; Gleason score; Low grade; Prostate biopsy; Prostate cancer; Radical prostatectomy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghleilib, I. A. (2014). The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15352

Chicago Manual of Style (16th Edition):

Ghleilib, Intisar Ali. “The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance.” 2014. Masters Thesis, Boston University. Accessed September 23, 2020. http://hdl.handle.net/2144/15352.

MLA Handbook (7th Edition):

Ghleilib, Intisar Ali. “The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance.” 2014. Web. 23 Sep 2020.

Vancouver:

Ghleilib IA. The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance. [Internet] [Masters thesis]. Boston University; 2014. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/2144/15352.

Council of Science Editors:

Ghleilib IA. The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15352

6. Soetemans, Derek J. Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging.

Degree: 2017, University of Western Ontario

 Prostate cancer (PCa) is one of the most prevalent cancers among men. Early diagnosis can improve survival and reduce treatment costs. Current inter-radiologist variability for… (more)

Subjects/Keywords: prostate cancer; characterization; computer-assisted; Gleason grade; MRI; Bioimaging and Biomedical Optics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Soetemans, D. J. (2017). Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4504

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soetemans, Derek J. “Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging.” 2017. Thesis, University of Western Ontario. Accessed September 23, 2020. https://ir.lib.uwo.ca/etd/4504.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soetemans, Derek J. “Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging.” 2017. Web. 23 Sep 2020.

Vancouver:

Soetemans DJ. Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2020 Sep 23]. Available from: https://ir.lib.uwo.ca/etd/4504.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soetemans DJ. Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4504

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

7. Bui, Loan Thuy. Localisation of kallikreins in the prostate and association with prostate cancer progression.

Degree: 2006, Queensland University of Technology

 At present, prostate cancer is a significant public health issue throughout the world and is the second leading cause of cancer deaths in older men.… (more)

Subjects/Keywords: Prostate cancer; Prostate cancer progression; Gleason grade; Benign prostatic hyperplasia (BPH); Prostatic intraepithelial neoplasia (PIN); Bone metastases from prostate cancer; Transgenic adenocarcinoma mouse prostate (TRAMP); Kallikreins; KLK4/hK4 (prostase; KLK-L1 protein; EMSP-1); Prostate specific antigen (PSA; KLK3); Human glandular kallikrein (KLK2/hK2); KLK5/hK5 (KLK-L2; HSCTE); KLK7/hK7 (PRSS6; HSCCE); KLK8/hK8 (PRSS19; Neuropsin; Ovasin); KLK11/hK11 (PRSS20; TLSP; Hippostasin); Immunohistochemistry; In situ hybridisation; Secretory cells; Basal cells; Nuclear staining; Cellular localisation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bui, L. T. (2006). Localisation of kallikreins in the prostate and association with prostate cancer progression. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/16276/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bui, Loan Thuy. “Localisation of kallikreins in the prostate and association with prostate cancer progression.” 2006. Thesis, Queensland University of Technology. Accessed September 23, 2020. https://eprints.qut.edu.au/16276/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bui, Loan Thuy. “Localisation of kallikreins in the prostate and association with prostate cancer progression.” 2006. Web. 23 Sep 2020.

Vancouver:

Bui LT. Localisation of kallikreins in the prostate and association with prostate cancer progression. [Internet] [Thesis]. Queensland University of Technology; 2006. [cited 2020 Sep 23]. Available from: https://eprints.qut.edu.au/16276/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bui LT. Localisation of kallikreins in the prostate and association with prostate cancer progression. [Thesis]. Queensland University of Technology; 2006. Available from: https://eprints.qut.edu.au/16276/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.