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Biblio

Found 10 results
Filters: Author is Gurcan, Metin N  [Clear All Filters]
2020
Niazi MKhalid Kha, Yazgan E, Tavolara TE, Li W, Lee CT, Parwani A, et al.. Semantic segmentation to identify bladder layers from H&E Images. Diagnostic Pathology. 2020 ;15:1–8.
Fauzi MFA, Chen W, Knight D, Hampel H, Frankel WL, Gurcan MN. Tumor Budding Detection System in Whole Slide Pathology Images. Journal of Medical Systems. 2020 ;44:1–10.
Hartman DJoseph, Van Der Laak JAWM, Gurcan MN, Pantanowitz L. Value of public challenges for the development of pathology deep learning algorithms. Journal of Pathology Informatics. 2020 ;11.
2019
Kus P, Gurcan MN, Beamer G. Automatic Detection of Granuloma Necrosis in Pulmonary Tuberculosis Using a Two-Phase Algorithm: 2D-TB. Microorganisms. 2019 ;7:661.
Niazi MKhalid Kha, Parwani AV, Gurcan MN. Digital pathology and artificial intelligence. The lancet oncology. 2019 ;20:e253–e261.
Tavolara TE, M Niazi KKhan, Arole V, Chen W, Frankel W, Gurcan MN. A modular cGAN classification framework: Application to colorectal tumor detection. Scientific reports. 2019 ;9:1–8.
2018
Senaras C, M Niazi KKhan, Lozanski G, Gurcan MN. DeepFocus: detection of out-of-focus regions in whole slide digital images using deep learning. PloS one. 2018 ;13:e0205387.
Niazi MKhalid Kha, Tavolara TErol, Arole V, Hartman DJ, Pantanowitz L, Gurcan MN. Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning. PloS one. 2018 ;13:e0195621.
Senaras C, Niazi MKhalid Kha, Sahiner B, Pennell MP, Tozbikian G, Lozanski G, et al.. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. PloS one. 2018 ;13:e0196846.
Niazi MKhalid Kha, Senaras C, Pennell M, Arole V, Tozbikian G, Gurcan MN. Relationship between the Ki67 index and its area based approximation in breast cancer. BMC cancer. 2018 ;18:1–9.