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Detecting Cancer Metastases on Gigapixel Pathology Images
Each year, the treatment decisions for more than 230,000 breast cancer patients in the U.S. hinge on whether the cancer has metastasized away from the breast. Metastasis detection is currentlyExpand
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TiO2 Nanotube Arrays of 1000 μm Length by Anodization of Titanium Foil: Phenol Red Diffusion
We report for the first time fabrication of self-aligned hexagonally closed-packed titania nanotube arrays of over 1000 μm in length and aspect ratio ≈10 000 by potentiostatic anodization ofExpand
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Combined targeting of MEK and PI3K/mTOR effector pathways is necessary to effectively inhibit NRAS mutant melanoma in vitro and in vivo
Activating mutations in the neuroblastoma rat sarcoma viral oncogene homolog (NRAS) gene are common genetic events in malignant melanoma being found in 15–25% of cases. NRAS is thought to activateExpand
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Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
PURPOSE Use adjudication to quantify errors in diabetic retinopathy (DR) grading based on individual graders and majority decision, and to train an improved automated algorithm for DR grading. Expand
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Long-term small molecule and protein elution from TiO2 nanotubes.
In this study, TiO(2) nanotubes of various dimensions were used to elute albumin, a large protein molecule, as well as sirolimus and paclitaxel, common small molecule drugs. The nanotubes controlledExpand
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Fabrication of mechanically robust, large area, polycrystalline nanotubular/porous TiO2 membranes
Abstract This work describes the fabrication of self-standing, mechanically robust, polycrystalline (anatase) TiO2 nanotube array membranes of uniform pore size distribution. The membranes are madeExpand
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The effect of TiO2 nanotubes on endothelial function and smooth muscle proliferation.
In this study we investigate the effects of nanotubular titanium oxide (TiO(2)) surfaces on vascular cells. EC and VSMC response to nanotubes was investigated through immunofluorescence staining,Expand
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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises theExpand
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Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical population, andExpand
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Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning
Traditionally,​ ​medical​ ​discoveries​ ​are​ ​made​ ​by​ ​observing​ ​associations​ ​and​ ​then​ ​designing experiments​ ​to​ ​test​ ​these​ ​hypotheses.​ ​However,​ ​observing​ ​and​ ​quantifying​Expand
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