Search results for "Aide"

Preprocessing methods for nodule detection in lung CT

2005

Abstract The use of automatic systems in the analysis of medical images has proven to be very useful to radiologists, especially in the framework of screening programs, in which radiologists make their first diagnosis on the basis of images only, most of those corresponding to healthy patients, and have to distinguish pathological findings from non-pathological ones at an early stage. In particular, we are developing preprocessing methods to be applied for pulmonary nodule Computer Aided Detection in low-dose lung Multi Slice CT (computed tomography) images.

Kokemuksia laaja-alaisesta opettajuudesta : luokanopettajaksi ja musiikin aineenopettajaksi opiskelevien ammatillisen minäkäsityksen tarkastelua

2013

Tutkimuksessa tarkastellaan Jyväskylän yliopistossa luokanopettajaksi ja musiikin aineenopettajaksi opiskelevien kokemuksia laaja-alaisesta opettajuudesta. Tarkastelun kohteena ovat koulutukseen hakeutuminen, asiantuntijuus, opettajaidentiteetti sekä tulevaisuus kahden aineen opettajana. Lisäksi hankitaan palautetta koulutuksen kehittämiseksi. Tutkimusintressiin ovat vaikuttaneet tutkijan kokemukset laaja-alaisena opettajaopiskelijana, yhteiskunnan edellyttämä laaja-alaisempi opettajuus ja tutkimustiedon tarve kaksoiskelpoisen koulutuksen kehittämiseksi. Teoreettisessa viitekehyksessä luodaan katsaus opettajuuteen tutkimuskohteena ja määritellään laaja-alaisen opettajuuden käsitettä kelpois…

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images

2022

Abstract Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training process, the strategy of annotation by iterative deep learning recently becomes popular in the research community. However, due to the lack of domain knowledge or efficient human-interaction tools, the current AID methods still suffer from long training time and high annotation burden. Methods We develop a contour-based annotation by iterative deep learning (AID) algorithm which uses boundary representation instead of voxel labels to incorp…

"Elävä esteettinen tunne, sopusointu ja viihtyisyys" : arkkitehti Frans Nyberg graafikkona ja kirjoittajana

2008

Monitieteistä tutkimusta mestari Franckesta

2018

Arvio teoksesta Ulrike Nürnberger, Elina Räsänen & Uwe Albrecht (toim.), Meister Francke Revisited: Auf den Spuren eines Hamburger Malers (Petersberg: Michael Imhof Verlag, 2017).

Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices

2021

Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis and assessment considering the severe effects of mental stress. In contrast to other health-related wearable devices, wearable or portable devices for stress assessment have not been developed yet. A major requirement for the development of such a device is a time-efficient algorithm. This study investigates the performance of computer-aided approaches for mental stress assessment. Machine learning (ML) approaches are compared in terms of the time required for feature extraction and classification. After conducting tests on data for real-t…

Osakemarkkinoiden ja reaalitalouden välinen kausaalisuus

1999

Bridging Art and Mathematics: Introduction

2017

There is a long history of interdisciplinary discussions on the relations between science, mathematics, geometry, art, aesthetics, and artistic praxes. These discussions remain active and pertinent today: the aforementioned relations are explored in various scientific communities, journals, and at conferences. Globally, numerous scholars and artists share a common interest in combining creative thinking, intellectual curiosity, and aesthetic sensibility in their work. Various experts working in different scientific and technological fields are inspired by phenomena that combine mathematical and artistic qualities. Respectively, several contemporary artists, graphic designers, craftsmen, and…

Mathematics Learning through Arts and Collaborative Problem-Solving : The Princess and the Diamond-Problem

2016

In this paper, we examine a mathematics education course which focused on collaborative mathematical problem solving in art topics. The students of the course were Finnish primary school pre-service teachers. During the course students investigated tessellations, reflected on their experiences and designed workshops for pupils. The course meetings were video recorded. Students’ work contained elements of mathematical problem solving and gave them experiences of working collaboratively. The topic of tessellation was found suitable for this purpose. peerReviewed

Organizing Children and Youth Mathematical Art Exhibits and Interpreting MathArt-works through a Collaborative, Transdisciplinary Practice

2020

This workshop will build upon a process developed by some of the authors for interpreting the mathematical and artistic knowledge demonstrated in MathArt-works created by children and youth. The participants will be separated into small groups and be given a MathArt-work to interpret. Each group will develop their own “Rhizomatic” representation of their interpretation which will be shared with the whole group during a “Gallery Walk” exhibition. Finally, all participants will discuss the creation of a network of practitioners interested in organizing children and youth mathematical art exhibits. peerReviewed