Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in …

A Memiş, S Varlı, F Bilgili - Computerized Medical Imaging and Graphics, 2020 - Elsevier
Medical image segmentation is one of the most crucial issues in medical image processing
and analysis. In general, segmentation of the various structures in medical images is …

A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry

A Memiş, S Varlı, F Bilgili - Artificial Intelligence in Medicine, 2021 - Elsevier
As a result of most of the bone disorders seen in hip joints, shape deformities occur in the
structural form of the hip joint components. Image-based quantitative analysis and …

Quantification of 2D shape variation of abnormal proximal femurs over normal proximal femurs in bilateral hip MRI: A computerized analysis for Legg-Calve-Perthes …

A Memiş, S Varlı, F Bilgili - Procedia Computer Science, 2019 - Elsevier
This article introduces a novel computerized quantitative shape variation analysis of the
abnormal proximal femurs in magnetic resonance imaging (MRI) slices for the Legg-Calve …

Fast and accurate registration of the proximal femurs in bilateral hip joint images by using the random sub-sample points

A Memiş, S Varlı, F Bilgili - IRBM, 2022 - Elsevier
Abstract Background and Objective As is known, point clouds representing the objects are
frequently used in object registration. Although the objects can be registered by using all the …

Automatic classification of the waldenstrom stages of Legg-Calve-Perthes disease from the 2D total proximal femur shape deformity

A Memiş, S Varlı, F Bilgili - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
By various hip joint disorders, human proximal femurs are deformed and the natural pure
shape of the human proximal femurs is lost. Automatic classification of the proximal femur …

Femoral head segmentation with convolutional neural networks in MR imaging slices of the patients with Legg-Calve-Perthes disease

A Memiş, S Varlı, F Bilgili - 2020 28th signal processing and …, 2020 - ieeexplore.ieee.org
In this paper, a study on semantic segmentation of the spheric (healthy) and aspheric
(pathological) femoral heads in magnetic resonance (MR) slices with the deep …

[PDF][PDF] A Novel Software Platform for Medical Image Processing and Analyzing

KU Singh - kalaharijournals.com
Image segmentation is a technique for extracting important features from a digital photo. It's
a must-have for any serious image analyst. It may be used for medical diagnosis, analysis of …

Automated Real Time Detection of Suspicious Appearances using Deep Learning

M Tursun, Ö Çetin - Journal of Aeronautics and Space …, 2021 - jast.hho.msu.edu.tr
Security camera systems especially in public areas such as airports, courthouses or sports
facilities etc. are used to find fugitive persons or detect suspicious behaviors manually under …