[PDF][PDF] Medical image segmentation: a review of recent techniques, advancements and a comprehensive comparison

AS Dar, D Padha - Int J Comput Sci Eng, 2019 - researchgate.net
Image segmentation is the most critical function in image analysis and processing. Results
of segmentation fundamentally affect all subsequent image analysis processes such as …

Low-light image enhancement method based on retinex theory by improving illumination map

X Pan, C Li, Z Pan, J Yan, S Tang, X Yin - Applied Sciences, 2022 - mdpi.com
Recently, low-light image enhancement has attracted much attention. However, some
problems still exist. For instance, sometimes dark regions are not fully improved, but bright …

A rapid self-supervised deep-learning-based method for post-earthquake damage detection using UAV data (case study: Sarpol-e Zahab, Iran)

N Takhtkeshha, A Mohammadzadeh, B Salehi - Remote Sensing, 2022 - mdpi.com
Immediately after an earthquake, rapid disaster management is the main challenge for
relevant organizations. While satellite images have been used in the past two decades for …

A comprehensive study of edge detection for image processing applications

P Ganesan, G Sajiv - 2017 international conference on …, 2017 - ieeexplore.ieee.org
In this paper, a comprehensive study of edge detection methods for image processing
applications is carried out to analyze the various edge detectors and the latest trends in …

High-resolution chest x-ray bone suppression using unpaired CT structural priors

H Li, H Han, Z Li, L Wang, Z Wu, J Lu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
There is clinical evidence that suppressing the bone structures in Chest X-rays (CXRs)
improves diagnostic value, either for radiologists or computer-aided diagnosis. However …

An effective detection and classification of road damages using hybrid deep learning framework

D Deepa, A Sivasangari - Multimedia Tools and Applications, 2023 - Springer
The monitoring of road surfaces is a critical thing in transport infrastructure management.
The manual reporting process increases the processing delay and causes challenges in …

A real time object recognition and counting system for smart industrial camera sensor

SH Lee, CS Yang - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
In the industry 4.0, factories around the world grow automated and intelligent, and where
smart camera plays an important role. Smart camera is equipped with processor, memory …

Prediction of response to neoadjuvant chemoradiotherapy by MRI-based machine learning texture analysis in rectal cancer patients

SP Shayesteh, A Alikhassi, F Farhan… - Journal of …, 2020 - Springer
Introduction Neoadjuvant chemoradiotherapy (nCRT) followed by surgical resection is the
standard treatment for locally advanced rectal cancer (LARC). Radiomics can be used as …

Pneumonia detection using X-ray image analysis with image processing techniques

P Meenakshi, K Bhavana… - 2022 7th international …, 2022 - ieeexplore.ieee.org
Chest X-ray (CXR) examination is the frequently used diagnostic image technique to detect
pneumonia infection. Examination of CXR is a challenging task even for trained radiologists …

A lightweight neural network based on AlexNet-SSD model for garbage detection

SH Lee, CH Yeh, TW Hou, CS Yang - Proceedings of the 2019 3rd High …, 2019 - dl.acm.org
As the theory of deep learning develops, object detection technology has been widely used
in all fields. How to find objects accurately and quickly is one of the key technologies. A …