Search Results - "Metin, N"

Digital pathology and artificial intelligence by Niazi, Muhammad Khalid Khan, Parwani, Anil V, Gurcan, Metin N

“…In modern clinical practice, digital pathology has a crucial role and is increasingly a technological requirement in the scientific laboratory environment. The…”
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DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning by Senaras, Caglar, Niazi, M Khalid Khan, Lozanski, Gerard, Gurcan, Metin N

“…The development of whole slide scanners has revolutionized the field of digital pathology. Unfortunately, whole slide scanners often produce images with…”
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Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning by Niazi, Muhammad Khalid Khan, Tavolara, Thomas Erol, Arole, Vidya, Hartman, Douglas J, Pantanowitz, Liron, Gurcan, Metin N

“…The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining the proliferative rate and assigning grade for pancreatic…”
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Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images by Senaras, Caglar, Niazi, Muhammad Khalid Khan, Sahiner, Berkman, Pennell, Michael P, Tozbikian, Gary, Lozanski, Gerard, Gurcan, Metin N

“…In pathology, Immunohistochemical staining (IHC) of tissue sections is regularly used to diagnose and grade malignant tumors. Typically, IHC stain…”
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Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review by Ngombu, Stephany, Binol, Hamidullah, Gurcan, Metin N., Moberly, Aaron C.

“…Objective Otitis media (OM) is a model disease for developing, validating, and implementing artificial intelligence (AI) techniques. We aim to review the state…”
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OtoMatch: Content-based eardrum image retrieval using deep learning by Camalan, Seda, Niazi, Muhammad Khalid Khan, Moberly, Aaron C, Teknos, Theodoros, Essig, Garth, Elmaraghy, Charles, Taj-Schaal, Nazhat, Gurcan, Metin N

“…Acute infections of the middle ear are the most commonly treated childhood diseases. Because complications affect children's language learning and cognitive…”
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BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images by Su, Ziyu, Niazi, Muhammad Khalid Khan, Tavolara, Thomas E, Niu, Shuo, Tozbikian, Gary H, Wesolowski, Robert, Gurcan, Metin N

“…Breast cancer is the most common malignancy in women, with over 40,000 deaths annually in the United States alone. Clinicians often rely on the breast cancer…”
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Content-Based Microscopic Image Retrieval System for Multi-Image Queries by Akakin, H. C., Gurcan, M. N.

“…In this paper, we describe the design and development of a multitiered content-based image retrieval (CBIR) system for microscopic images utilizing a reference…”
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Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach by Goceri, Evgin, Shah, Zarine K., Gurcan, Metin N.

“…Summary The liver vessels, which have low signal and run next to brighter bile ducts, are difficult to segment from MR images. This study presents a fully…”
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Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images by Su, Ziyu, Tavolara, Thomas E., Carreno-Galeano, Gabriel, Lee, Sang Jin, Gurcan, Metin N., Niazi, M.K.K.

“…•We developed a weak multiple instance learning framework, attention2majority, to automatically grading the regenerative kidney on whole slide image.•The…”
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One label is all you need: Interpretable AI-enhanced histopathology for oncology by Tavolara, Thomas E, Su, Ziyu, Gurcan, Metin N, Niazi, M Khalid Khan

“…Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit oncology through interpretable methods that require only…”
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Computerized classification of intraductal breast lesions using histopathological images by Dundar, M. Murat, Badve, Sunil, Bilgin, Gokhan, Raykar, Vikas, Jain, Rohit, Sertel, Olcay, Gurcan, Metin N.

“…In the diagnosis of preinvasive breast cancer, some of the intraductal proliferations pose a special challenge. The continuum of intraductal breast lesions…”
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Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results by Camalan, Seda, Mahmood, Hanya, Binol, Hamidullah, Araújo, Anna Luiza Damaceno, Santos-Silva, Alan Roger, Vargas, Pablo Agustin, Lopes, Marcio Ajudarte, Khurram, Syed Ali, Gurcan, Metin N

“…Oral cancer/oral squamous cell carcinoma is among the top ten most common cancers globally, with over 500,000 new cases and 350,000 associated deaths every…”
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Quantification of liver fat: A comprehensive review by Goceri, Evgin, Shah, Zarine K, Layman, Rick, Jiang, Xia, Gurcan, Metin N

“…Abstract Fat accumulation in the liver causes metabolic diseases such as obesity, hypertension, diabetes or dyslipidemia by affecting insulin resistance, and…”
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Relationship between the Ki67 index and its area based approximation in breast cancer by Niazi, Muhammad Khalid Khan, Senaras, Caglar, Pennell, Michael, Arole, Vidya, Tozbikian, Gary, Gurcan, Metin N

“…The Ki67 Index has been extensively studied as a prognostic biomarker in breast cancer. However, its clinical adoption is largely hampered by the lack of a…”
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Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels by Tavolara, Thomas E, Gurcan, Metin N, Niazi, M Khalid Khan

“…Recent methods in computational pathology have trended towards semi- and weakly-supervised methods requiring only slide-level labels. Yet, even slide-level…”
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Effects of Different Grinding Media and Milling Conditions on the Flotation Performance of a Copper-Pyrite Ore by N. Metin Can, Çağrı Başaran

“…Different milling conditions, such as wet or dry, and use of different grinding media have a great impact on the flotation performance of sulphide minerals. In…”
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An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management by Martel, Anne L, Hosseinzadeh, Dan, Senaras, Caglar, Zhou, Yu, Yazdanpanah, Azadeh, Shojaii, Rushin, Patterson, Emily S, Madabhushi, Anant, Gurcan, Metin N

“…Pathology Image Informatics Platform (PIIP) is an NCI/NIH sponsored project intended for managing, annotating, sharing, and quantitatively analyzing digital…”
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Metaplastic Breast Cancer: Current Understanding and Future Directions by Thomas, Alexandra, Douglas, Emily, Reis-Filho, Jorge S, Gurcan, Metin N, Wen, Hannah Y

“…Metaplastic breast cancers (MBC) encompass a group of highly heterogeneous tumors which share the ability to differentiate into squamous, mesenchymal or…”
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Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring by Luchini, Claudio, Pantanowitz, Liron, Adsay, Volkan, Asa, Sylvia L., Antonini, Pietro, Girolami, Ilaria, Veronese, Nicola, Nottegar, Alessia, Cingarlini, Sara, Landoni, Luca, Brosens, Lodewijk A., Verschuur, Anna V., Mattiolo, Paola, Pea, Antonio, Mafficini, Andrea, Milella, Michele, Niazi, Muhammad K., Gurcan, Metin N., Eccher, Albino, Cree, Ian A., Scarpa, Aldo

“…Ki-67 assessment is a key step in the diagnosis of neuroendocrine neoplasms (NENs) from all anatomic locations. Several challenges exist related to quantifying…”
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