mining of stroma in pthology
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The deep stroma score was an independent prognostic factor in stage IV tumors . Also, the deep stroma score was highly significantly prognostic of survival in the full cohort of all tumor stages (HR = 1.99 [1.27–3.12], p = 0.0028), while CAF score and pathologist annotation were not .
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The integration of morphological and intensity based features into the classification step significantly contributed to the increase in the classifiers power to discriminate tumor and stroma. The use of a broad spectrum of feature types reflects the complex visual tasks pathology perform in .
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Bone marrow stromal cells are progenitors of skeletal tissue components such as bone, cartilage, the hematopoiesis‐supporting stroma, and adipocytes. In addition, they may be experimentally induced to undergo unorthodox differentiation, possibly forming neural and myogenic cells.
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Immunohistochemistry in the Diagnosis of Mucinous Neoplasms Involving the Ovary: The Added Value of SATB2 and Biomarker Discovery Through Protein Expression Database Mining. Strickland S(1), Wasserman JK, Giassi A, Djordjevic B, Parra-Herran C.
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Jul 21, 2008 · Cancer testis antigens (CTAs) are expressed in a wide variety of malignant neoplasms, but in normal adult tissues CTA expression is restricted predominantly to germ cells of the adult testis and placenta. 1-4 To date, more than 80 CTAs or CTA families have been identified and their number remain growing. Several monoclonal antibodies (mAbs) for the in situ detection of CTAs have been developed .
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The stroma is a layer of connective tissue that varies in thickness according to hormonal influences. In the uterus, simple tubular glands reach from the endometrial surface through to the base of the stroma, which also carries a rich blood supply provided by the spiral arteries. In a woman of reproductive age, two layers of endometrium can be .
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Gabriel Sica, MD, PhD, is an Associate Professor in the Department of Pathology and Laboratory Medicine at Emory University School of Medicine, and serves as the director of the Winship Cancer Tissue and Pathology Shared Resource. Dr. Sica is a member of the Discovery and Developmental Therapeutics research program at Winship Cancer Institute.
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The corneal stroma is a dense connective tissue of remarkable regularity. It makes up the vast majority of the cornea and consists predominantly of 2 µm thick, flattened, collagenous lamellae (200–250 layers) oriented parallel to the corneal surface and continuous with the sclera at the limbus. Between the lamellae lie extremely flattened, modified fibroblasts known as keratocytes.
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With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and represented and archived digitally. While digital pathology has substantial implications for telepathology, second opinions, and education there are also huge research opportunities in image computing with this new source of "big data".
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Diagnostic Pathology: Open Access, Journal of the American Society of Cytopathology, General and Diagnostic Pathology, CPD Bulletin Cellular Pathology, Journal of Cellular Pathology, Turkish Journal of Dermatopathology, Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology. Diagnostic Techniques in Pathology
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establish in routine surgical pathology practice.14 For example, the morphometric finding that most precancerous lesions have a volume percentage of stroma of less than 50% easily translates to ''gland area exceeds that of stroma,'' or more simply, ''there are more glands than there are stromata.''
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Gastrointestinal stromal tumor. General Financial Topics. General Psychosocial Aspect Topics . Mining Cancer Data in the Molecular Age. March 03, 2011 – Mike King. . One of the first rounds of in silico research is concentrating on the genetic pathology and treatment outcomes of brain tumor patients obtained through the Cancer Genome .
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The possibility of digitizing whole-slide images of tissue has led to the advent of artificial intelligence (AI) and machine learning tools in digital pathology, which enable mining of subvisual .
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establish in routine surgical pathology practice.14 For example, the morphometric finding that most precancerous lesions have a volume percentage of stroma of less than 50% easily translates to ''gland area exceeds that of stroma,'' or more simply, ''there are more glands than there are stromata.''
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There has been an exponential growth in the application of AI in health and in pathology. This is resulting in the innovation of deep learning technologies that are specifically aimed at cellular imaging and practical applications that could transform diagnostic pathology. This paper reviews the different approaches to deep learning in pathology, the public grand challenges that have driven .
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PATHOLOGY AND EXPERIMENTAL PATHOLOGY Ian Webster . *Sponsored by the State Department of Mines and the Asbestos Mining In- dustry of South Africa. 623 . . usually associated with a connective tissue stroma. In some cases the stroma appears to consist of reticulin fibers, loosely or compactly arranged, .
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With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and represented and archived digitally. While digital pathology has substantial implications for telepathology, second opinions, and education there are also huge research opportunities in image computing with this new source of "big data".
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Stroma definition, the supporting framework or matrix of a cell. See more.
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Background . The tumor stroma plays pivotal roles in influencing tumor growth, invasion, and metastasis. Transcriptional signatures of colon tumor stroma (CTS) are significantly associated with prognosis of colon cancer. Thus, identification of the CTS transcriptional features could be useful for colon cancer diagnosis and therapy. Methods.
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May 26, 2016 · A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. . and prognosis determination is to be able to distinguish stromal from epithelial tissue compartments on digital pathology images. This is however extremely challenging due to the high data density, the complexity of .
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Oct 30, 2019 · Immune and stromal cells are the most important component of nontumor cells in TME and have shown a potential value for diagnosis and prognosis prediction of cancers [6, 7]. Previous studies have found that the extent of stromal cells could provide a .
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May 26, 2016 · A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. . and prognosis determination is to be able to distinguish stromal from epithelial tissue compartments on digital pathology images. This is however extremely challenging due to the high data density, the complexity of .
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After someone is diagnosed with cancer, doctors will try to figure out if it has spread, and if so, how far. This process, called staging, is based on the results of physical exams and other tests, which are described in Tests for Gastrointestinal Stromal Tumors.. The stage of a cancer describes how much cancer is in the body.
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Jul 18, 2016 · Ectopic micronodular thymoma with lymphoid stroma in the cervical region: a rare case associated with Langerhans cells proliferation Min Yu,1 Yuan Meng,2 Bin Xu,2 Lin Zhao,3 Qingfu Zhang4 1Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, .
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pathology [pah-thol´o-je] 1. the branch of medicine treating of the essential nature of disease, especially of the changes in body tissues and organs that cause or are caused by disease. 2. the structural and functional manifestations of a disease. adj., adj patholog´ic, patholog´ical. clinical pathology pathology applied to the solution of clinical .
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Dec 30, 2019 · More recently, next generation sequencing using mapping based data mining of sequencing reads can also detect fusions (Am J Surg Pathol 2017;41:1576) Some studies have shown RNA sequencing to be an effective method for novel gene fusion detection (Mod Pathol 2018 Apr 30 [Epub ahead of print])
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Srikant N teaches undergraduate and postgraduate students. He: Is involved in Dental anatomy, Oral Histology, Oral Pathology and Microbiology. Is a member of the institutional image projection committee.
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Jan 25, 2017 · Results: CrosstalkNet is a user friendly, web-based network visualization tool to retrieve and mine interactions in large-scale bipartite co-expression networks. In this study, we discuss the use of gene co-expression networks to explore the rewiring of interactions between tumor epithelial and stromal .
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A sarcoma is a cancer that arises from transformed cells of mesenchymal (connective tissue) origin. Connective tissue is a broad term that includes bone, cartilage, fat, vascular, or hematopoietic tissues, and sarcomas can arise in any of these types of tissues. As a result, there are many subtypes of sarcoma, which are classified based on the specific tissue and type of cell from which the .
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"Mining Big Data for Molecular Marker Detection" Professor Su-In Lee is an Assistant Professor in the Departments of Computer Science & Engineering and Genome Sciences at the University of Washington. She received her Ph.D. degree in Electrical Engineering from Stanford University in 2009.
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