76 research outputs found
Initiation des étudiants en médecine à l’apprentissage profond par le biais de l’étiquetage d’images : une approche nouvelle pour répondre au besoin de mieux les familiariser avec l’intelligence artificielle
Implication Statement
Our approach addresses the urgent need for AI experience for the doctors of tomorrow. Through a medical education-focused approach to data labelling, we have fostered medical student competence in medical imaging and AI. We envision our framework being applied at other institutions and academic groups to develop robust labelling programs for research endeavours. Application of our approach to core visual modalities within medicine (e.g. interpretation of ECGs, diagnostic imaging, dermatologic findings) can lead to valuable student experience and competence in domains that feature prominently in clinical practice, while generating much needed data in fields that are ripe for AI integration.Énoncé des implications de la recherche
Notre approche répond au besoin urgent de familiariser les médecins de demain avec l’IA. Nous contribuons au développement de leurs compétences en imagerie médicale et en IA par une approche à l’étiquetage des données axée sur l’éducation médicale. Nous envisageons l’adoption de notre cadre par d’autres établissements et groupes universitaires souhaitant créer des programmes d’étiquetage solides pour leurs projets de recherche. L’application de notre approche aux principales techniques d’imagerie médicale (par exemple, l’interprétation des ECG, l’imagerie diagnostique, les résultats dermatologiques) peut permettre aux étudiants d’acquérir une expérience et des compétences précieuses dans des domaines importants de la pratique clinique, tout en générant des données indispensables dans des champs qui sont prêts pour l’intégration de l’IA
The performance of "Virtual Phase" CCDs as detectors of minimum-ionizing particles
The Texas Instruments "Virtual Phase" CCD has been the basis of an ambitious design for a precision vertex detector to be used at the Stanford Linear Collider. The performance of this chip shows promise for future use in electron linear colliders. Experimental results are reported in addition to description of the electronic readout and preliminary mechanical design.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26549/1/0000088.pd
Measurement of the D 0 → K - Π + Branching Fraction a
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72296/1/j.1749-6632.1988.tb51529.x.pd
COUPP - a search for dark matter with a continuously sensitive bubble chamber
We propose to construct and operate a 60-kg room temperature CF{sub 3}I bubble chamber as a prototype dark matter (WIMP) detector. Operating in weakly-superheated mode, the chamber will be sensitive to WIMP induced nuclear recoils above 10 keV, while rejecting background electron recoils at a level approaching 10{sup 10}. We would first commission and operate this chamber in the MINOS near detector hall with the goal to demonstrate stable operation and measure internal contamination and any other backgrounds. This chamber, or an improved version, would then be relocated to an appropriate deep underground site such as the Soudan Mine. This detector will have unique sensitivity to spin-dependent WIMP-nucleon couplings, and even in this early stage of development will attain competitive sensitivity to spin-independent couplings
Charged particle multiplicity distributions in e + e − annihilation at 29 GeV: a comparison with hadronic data
The charged particle multiplicity distributions for two-jet events in e + e − annihilation at 29 GeV have been measured using the High Resolution Spectrometer at PEP. A Poisson distribution describes the data for both the complete event and for the single jets. In addition, no correlation is observed between the multiplicities in the two jets of an event. For fixed values of the prong number of the complete event, the multiplicity sharing between the two jets is in good agreement with a binomial distribution. The rapidity gap distribution is exponential with a slope equal to the mean rapidity density. These observations, which are consistent with a picture of independent emission of single particles, are contrasted to the results from soft hadronic collisions and conclusions are drawn about the nature of clusters.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47881/1/10052_2005_Article_BF01570767.pd
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