Global ETD Search
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Showing 1 to 4 of 4 for “"tumor subtyping"”.
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Interpretable Tumor Localization in Bladder Cancer Histopathology Using Deep Multiple Instance Learning
… slide context beyond local morphology, such as tumor subtyping and mutation prediction. To this end, we compare CLAM, a recently developed multiple instance learning model designed to address these limitations, to a tile-based computer vision model on over 1,500 hematoxylin and eosin …
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Phase II Trials Powered to Detect Activity in Tumor Subsets with Retrospective (or Prospective) Use of Predictive Markers
… assume a patient population with a homogeneous tumor type and yield an estimate of a stochastic probability of tumor response. Clinically, however, oncology is moving towards identifying patients who are likely to respond to therapy using tumor subtyping based upon predictive markers. Such …
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Molecular diagnosis of cancer using ambient ionization mass spectrometry
… to analyze and differentiate disease state (i.e. tumor and normal) and in some cases tumor subtype of human liver, kidney, bladder, testicular, prostate, and brain cancers. DESI-MS imaging is an ideal method for disease diagnosis, because it can be used to directly correlate disease state with …
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The Dark Side of the Eye: Towards Robust Deep Learning Models for Uveal Melanoma Screening
… Consequently, diagnoses are often made when the tumor has already reached an advanced stage. Therefore, the development of automated solutions for screening is of paramount importance to speed up the analysis process and reduce inter-operator variability. In this context, Deep Learning (DL) …