Deep learning based vertebral body segmentation with extraction of spinal measurements and disorder disease classification

RF Masood, IA Taj, MB Khan, MA Qureshi… - … Signal Processing and …, 2022 - Elsevier
Assessment of medical images and diagnostic decision making of lumbar associated
diseases by clinicians is invariably subjective, time consuming and challenging task …

Identification of two-phase flow regime using ultrasonic phased array

L Fang, Q Zeng, F Wang, Y Faraj, Y Zhao… - Flow Measurement and …, 2020 - Elsevier
Flow regime is one of the key characteristics of gas-liquid two-phase pipe-flows and its
identification is essential for several industrial applications. In this paper, the ultrasonic …

Predicting students performance using supervised machine learning based on imbalanced dataset and wrapper feature selection

S Alija, E Beqiri, AS Gaafar, AK Hamoud - Informatica, 2023 - informatica.si
For learning environments like schools and colleges, predicting the performance of students
is one of the most crucial topics since it aids in the creation of practical systems that, among …

Vertebral deformity measurements at MRI, CT, and radiography using deep learning

A Suri, BC Jones, G Ng, N Anabaraonye… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To construct and evaluate the efficacy of a deep learning system to rapidly and
automatically locate six vertebral landmarks, which are used to measure vertebral body …

The improved faster-RCNN for spinal fracture lesions detection

G Sha, J Wu, B Yu - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
Purpose: Reading spinal CT (Computed Tomography) images is very important in the
diagnosis of spondylosis, which is time-consuming and prones to make biases. In this paper …

Automatic glaucoma screening using optic nerve head measurements and random forest classifier on fundus images

M Bouacheria, Y Cherfa, A Cherfa… - Physical and Engineering …, 2020 - Springer
Glaucoma is an optic neuropathy that gradually steals the patient's sight by damaging the
optic nerve head (which is responsible for transferring images from the eye to the brain) …

[HTML][HTML] A novel quantitative measurement method for irregular tubules in breast carcinoma

XJ Tan, N Mustafa, MY Mashor… - Engineering Science and …, 2022 - Elsevier
Tubule detection is very crucial and is one of the important criterions for tubule formation
assessment in breast carcinoma. The output of tubule formation is essential to determine the …

[HTML][HTML] Unsupervised local center of mass based scoliosis spinal segmentation and Cobb angle measurement

MY Sikkandar, MM Alhashim, A Alassaf, I AlMohimeed… - Plos one, 2024 - journals.plos.org
Scoliosis is a medical condition in which a person's spine has an abnormal curvature and
Cobb angle is a measurement used to evaluate the severity of a spinal curvature. Presently …

A fusion based land cover classification model using remote sensed images

M Sahu, R Dash - Intelligent Decision Technologies, 2022 - content.iospress.com
Classification of land cover from remote sensed image is quite challenging task. Since the
satellite images preserve spatial and spectral information, thus it is essential to identify the …

Modeling the impact of irrigation water quality on soil salinization in an arid region, case of Biskra

IS BOUDIBI - 2021 - thesis.univ-biskra.dz
Groundwater is the major water resource for domestic, industrial and irrigation uses in arid
and semi-arid regions as well as in El Outaya basin (Biskra, southeastern Algeria). However …