Search results for " ai"

showing 10 items of 2441 documents

A Fuzzy Logic C-Means Clustering Algorithm to Enhance Microcalcifications Clusters in Digital Mammograms

2011

The detection of microcalcifications is a hard task, since they are quite small and often poorly contrasted against the background of images. The Computer Aided Detection (CAD) systems could be very useful for breast cancer control. In this paper, we report a method to enhance microcalcifications cluster in digital mammograms. A Fuzzy Logic clustering algorithm with a set of features is used for clustering microcalcifications. The method described was tested on simulated clusters of microcalcifications, so that the location of the cluster within the breast and the exact number of microcalcifications is known.

C-meanCOMPUTER-AIDED DETECTIONComputer scienceCADFuzzy logicSet (abstract data type)Cluster (physics)medicineMammographycancerComputer visionCLASSIFICATION.Cluster analysisbreastmedicine.diagnostic_testbusiness.industryPattern recognitionImage enhancementComputer aided detectionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)microcalcificationComputingMethodologies_PATTERNRECOGNITIONbreast; cancer; microcalcifications; clustering; fuzzy logic; C-means; COMPUTER-AIDED DETECTION; CLASSIFICATION.Artificial intelligencefuzzy logicbusinessclustering

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Darba vides riski nodarbinātiem būvniecībā un preventīvie pasākumi.

2016

“Darba vides riski nodarbinātajiem būvniecībā un preventīvie pasākumi”. Darba autore : Jūlija Ardžiro. Darba zinātniskais vadītājs: Dr. Henrijs Kaļķis. Darbs izklāts uz 80 lapām, ietver 26 attēlus, 4 pielikumus, 12 informatīvos avotus. Pētījums sastāv no trijām daļām. Pirmā daļa ietver literatūras analīzi par būvniecībā sastopamajiem darba vides riskiem, to iespējamiem cēloņiem un to sekām. Otrā daļā tiek apskatītas risku novērtēšanas metodes, kas tiek izmantotas darbā. Trešā darba daļā tiek atspoguļoti darba vides risku novērtēšanas rezultāti. Pētījumā ir analizētas 2 būvniecības darba vietas- darbs augstumā un ceļa izbūves darbi. Pēc pētījuma rezultātiem tiek izstrādāts preventīvo pasākum…

CEĻU BŪVNIECĪBADARBA VIDES RISKIDarba vides aizsardzība un ekspertīzeDARBI AUGSTUMĀBŪVNIECĪBA CEĻU BŪVNIECĪBA

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Spirometric criteria to diagnose airway obstruction in the elderly: fixed ratio vs. lower limit of normal.

2015

COPD is the most common chronic lung disease. It becomes more prevalent with increasing age but remains under-diagnosed in the elderly. A heated debate concerns the most suitable way to diagnose airway obstruction in this age group. Most COPD guidelines recommend to use a FEV1/FVC of 0.70 as threshold to define an obstructive ventilatory defect. While the use of a 0.70 ratio may be simple, it may result in under-diagnosis of airflow obstruction in young people and over-diagnosis in the elderly due to an age-related decline in pulmonary volumes, especially in FEV1. This might lead to unnecessary use of medications and increased risk of adverse effects. A proposed strategy for reducing the mi…

COPD diagnosis spirometry airflow obstruction forced expiratory volume

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Expression of versican in large and small airways and parenchima in lungs of non-smokers smokers and COPD patients

2009

COPD Smokerssmall airwaySettore MED/10 - Malattie Dell'Apparato Respiratorio

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Airway distensibility by HRCT decreases with severity of COPD.

2008

COPD airways HRCTSettore MED/10 - Malattie Dell'Apparato Respiratorio

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Machine learning classification for COVID19 patients performed on small datasets of CT scans.

2022

In this work we evaluated the possibility of carrying out classifications of the outcome of patients with COVID19 disease through machine learning (ML) techniques working on small datasets of computed tomography (CT) images. In fact, one of the most common problems for medical artificial intelligence (AI) applications is the limited availability of annotated clinical data for model training. In the framework of the artificial intelligence in medicine (AIM) project funded by INFN, we analyzed datasets of CT scans of 79 subjects combined with clinical data containing information relating to positive outcome (no need for intensive care) or poor prognosis (admission into intensive care unit and…

COVID19 CT scans medical artificial intelligence AISettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)

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