Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions

Sakshi, V Kukreja - Archives of Computational Methods in Engineering, 2023 - Springer
Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

MRFE-CNN: Multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network

R Ranjbarzadeh, N Tataei Sarshar… - Annals of Operations …, 2023 - Springer
Breast cancer is cancer that develops from the breast tissue and has been recognized as
one of the most dangerous and deadly diseases that is the second leading cause of cancer …

Comparative review on traditional and deep learning methods for medical image segmentation

SM Khaniabadi, H Ibrahim, IA Huqqani… - 2023 IEEE 14th …, 2023 - ieeexplore.ieee.org
Medical image segmentation is a vital task in medical imaging, aiming to extract meaningful
and precise information from images. While traditional methods have been extensively used …

SaTransformer: Semantic‐aware transformer for breast cancer classification and segmentation

J Zhang, Z Zhang, H Liu, S Xu - IET Image Processing, 2023 - Wiley Online Library
Breast cancer classification and segmentation play an important role in identifying and
detecting benign and malignant breast lesions. However, segmentation and classification …

[HTML][HTML] Development of smart cardiovascular measurement system using feature selection and machine learning models for prediction of sleep deprivation, cold …

CL Lin, C Tseng, CJ Wang, SH Chao, YS Hwang… - Measurement, 2023 - Elsevier
This study aimed to develop a smart cardiovascular measurement system using ECG and
PPG to evaluate health issues: sleep deprivation, cold hands and feet, and the Shanghuo …

Analysis of feature selection methods in software defect prediction models

M Ali, T Mazhar, T Shahzad, YY Ghadi… - IEEE …, 2023 - ieeexplore.ieee.org
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …

Machine learning‐based regression models for predicting signal quality of dense wavelength division multiplexing (DWDM) optical communication network

A Masih, G Kaur - International Journal of Communication …, 2023 - Wiley Online Library
Over the years, optical communication systems have been a significant source of fast and
secure communication. However, factors like noise and mitigation error can degrade the bit …

An automatic segmentation of breast ultrasound images using u-net model

E Radhi, M Kamil - SJEE, 2023 - 91.187.132.54
Medical imaging, like ultrasound, gives a good visual picture of how an organ works.
However, a radiologist has a hard time and takes a long time to process these images …

Hippocampus Segmentation Method Applying Coordinate Attention Mechanism and Dynamic Convolution Network

J Jiang, H Liu, X Yu, J Zhang, B Xiong, L Kuang - Applied Sciences, 2023 - mdpi.com
Precisely segmenting the hippocampus from the brain is crucial for diagnosing
neurodegenerative illnesses such as Alzheimer's disease, depression, etc. In this research …

Enhanced Spine Segmentation in Scoliosis X-ray Images via U-Net.

S Sacharisa, IH Kartowisastro - Ingénierie des Systèmes d' …, 2023 - search.ebscohost.com
Scoliosis prevalence is witnessing an upward trend, rendering image segmentation an
invaluable tool in appraising the condition's severity. The segmentation of spinal images …