Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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0.3%0.5%0.8%0.1% · Dec 201819922001200920172026
3 results for “emphysema”
Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Networkcs.CV

Convolutional LSTM detects emphysema in lung cancer screening images.

problem Learning disease signatures from weakly annotated volumetric medical images.
method 3D volumetric images analyzed as a sequence of 2D images using convolutional LSTM.
result Convolutional LSTM model outperformed other methods in detecting emphysema.
disease detectionmedical imaging3D CNNemphysemalong short-term memory
2018-12-03abs ↗pdf ↗
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysiscs.LG

FRODO method rejects out-of-distribution chest x-ray images with high accuracy.

problem Rejecting out-of-distribution samples in medical image analysis.
method Uses feature activations and Mahalanobis distance to measure distribution mismatch.
result Achieves an AUC score of 0.99 in classifying chest x-ray images as in or out of distribution.
out-of-distributionchest x-raysmedical imagingfeature activationsMahalanobis distance
2019-07-02abs ↗pdf ↗
Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataseteess.IV

Paper proposes a weak supervision technique for CNN semantic segmentation of lung diseases using partially annotated data.

problem Creating annotated datasets for semantic segmentation of lung diseases is laborious and time-consuming.
method Proposes a weak supervision technique that utilizes partially annotated datasets to improve CNN semantic segmentation accuracy.
result Significantly improved segmentation accuracy using partially annotated datasets.
semantic segmentationCNNlungsweak supervisionpartial annotation
2020-02-27abs ↗pdf ↗