AIMC Topic: Coloring Agents
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High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.
IEEE transactions on bio-medical engineering
Feb 13, 2019
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parame...
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
PLoS medicine
Jan 24, 2019
BACKGROUND: For virtually every patient with colorectal cancer (CRC), hematoxylin-eosin (HE)-stained tissue slides are available. These images contain quantitative information, which is not routinely used to objectively extract prognostic biomarkers....
Cytotoxicity of bracket identification dyes.
The Angle orthodontist
Dec 28, 2018
OBJECTIVES: To investigate the potential cytotoxicity of the bracket identification dyes commonly used in orthodontic fixed appliances.
Indocyanine Green as a Beacon Light in Laparoscopy: A New Application in Transplant Surgery: A Case Report.
Transplantation proceedings
Dec 12, 2018
INTRODUCTION: Indocyanine green (ICG) fluorescence imaging system is a now a consolidated complementary technique for several surgical fields. The development of post-transplant lymphocele following lymph spread could affect kidney function; between ...
Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study.
Annals of internal medicine
Aug 14, 2018
BACKGROUND: Computer-aided diagnosis (CAD) for colonoscopy may help endoscopists distinguish neoplastic polyps (adenomas) requiring resection from nonneoplastic polyps not requiring resection, potentially reducing cost.
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Artificial intelligence in medicine
Apr 26, 2018
MOTIVATION: Identifying carcinoma subtype can help to select appropriate treatment options and determining the subtype of benign lesions can be beneficial to estimate the patients' risk of developing cancer in the future. Pathologists' assessment of ...
Efficient deep learning model for mitosis detection using breast histopathology images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 16, 2017
Mitosis detection is one of the critical factors of cancer prognosis, carrying significant diagnostic information required for breast cancer grading. It provides vital clues to estimate the aggressiveness and the proliferation rate of the tumour. The...
Application of the removal of pollutants from textile industry wastewater in constructed wetlands using fuzzy logic.
Environmental technology
Jun 24, 2016
There are more than a hundred textile industries in Turkey that discharge large quantities of dye-rich wastewater, resulting in water pollution. Such effluents must be treated to meet discharge limits imposed by the Water Framework Directive in Turke...
HEp-2 Cell Image Classification With Deep Convolutional Neural Networks.
IEEE journal of biomedical and health informatics
Feb 8, 2016
Efficient Human Epithelial-2 cell image classification can facilitate the diagnosis of many autoimmune diseases. This paper proposes an automatic framework for this classification task, by utilizing the deep convolutional neural networks (CNNs) which...
Evaluation of a transcutaneous method to assess canine liver function by indocyanine green plasma disappearance rate in healthy adult Beagle dogs.
Veterinary journal (London, England : 1997)
Nov 2, 2015
A non-invasive, transcutaneous method using near infrared spectroscopy to assess indocyanine green plasma disappearance rate (ICG-PDR) in healthy dogs subjected to different conditions was evaluated in eight healthy purpose-bred Beagles under isoflur...
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