Results 41 to 50 of about 202,762 (305)
Deep Learning Solutions for Lung Cancer Characterization in Histopathological Images [PDF]
, 2021 Cancer is one of the leading death causes in the world, specifically, lung cancer. According to theWorld Health Organization (WHO), at the end of 2020, around 2.2 million people were diagnosedwith lung cancer, and 1.8 million fatalities resulted from it.
João Moranguinho Bastardo Moura
core +1 more source
Histopathologic Image Processing: A Review
CoRR, 2019 Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the analysis is time and resource consuming.
Jonathan de Matos +3 more
openaire +2 more sources
Colour normalisation of histopathological images
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2013 Colour transfer is a prime area of research in image processing in recent years. In many real-life image applications, colour transfer of the image is required. A few methods have been developed to alter the colour appearance of the images as per the colour information of the reference image.
Mukesh Saraswat, K. V. Arya
openaire +1 more source
On image search in histopathology
Journal of Pathology InformaticsPathology images of histopathology can be acquired from camera-mounted microscopes or whole slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across ...
H.R. Tizhoosh, Liron Pantanowitz
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Компьютерная оптикаThe relevance of detecting and treating breast cancer in the early stages remains high. In 2020, more than 65,000 new cases of breast cancer were registered, with an average annual growth rate being 2%.
N.S. Buravsky, E.Y. Kostyuchenko
doaj +1 more source
THIR: Topological Histopathological Image Retrieval [PDF]
CoRRAccording to the World Health Organization, breast cancer claimed the lives of approximately 685,000 women in 2020. Early diagnosis and accurate clinical decision making are critical in reducing this global burden. In this study, we propose THIR, a novel Content-Based Medical Image Retrieval (CBMIR) framework that leverages topological data analysis ...
Tabatabaei, Zahra, Sporring, Jon
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A Petri Dish for Histopathology Image Analysis [PDF]
, 2021 With the rise of deep learning, there has been increased interest in using neural networks for histopathology image analysis, a field that investigates the properties of biopsy or resected specimens traditionally manually examined under a microscope by pathologists.
Jerry W. Wei +11 more
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Imaging and Histopathologic Nuances of Epithelioid Glioblastoma [PDF]
Case Reports in Surgery, 2018 A 27-year-old male without significant past medical history presented following collapse resulting from a syncopal episode at work. There was an episode of vomiting, and one of tonic-clonic seizure activity, which was spontaneously resolved after approximately one minute.
Brian H. Le, Richard A. Close
openaire +3 more sources
Multi texture analysis of colorectal cancer continuum using multispectral imagery
, 2016 Purpose This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images.
Camel Tanougast (2270119) +17 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source