A review of deep-learning-based medical image segmentation methods
As an emerging biomedical image processing technology, medical image segmentation has
made great contributions to sustainable medical care. Now it has become an important …
made great contributions to sustainable medical care. Now it has become an important …
Automatic 3D pulmonary nodule detection in CT images: a survey
This work presents a systematic review of techniques for the 3D automatic detection of
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
[HTML][HTML] Detection of plant leaf diseases using image segmentation and soft computing techniques
V Singh, AK Misra - Information processing in Agriculture, 2017 - Elsevier
Agricultural productivity is something on which economy highly depends. This is the one of
the reasons that disease detection in plants plays an important role in agriculture field, as …
the reasons that disease detection in plants plays an important role in agriculture field, as …
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
JC Souza, JOB Diniz, JL Ferreira, GLF Da Silva… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Chest X-ray (CXR) is one of the most used imaging
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …
Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
Skin diseases remain a major cause of disability worldwide and contribute approximately
1.79% of the global burden of disease measured in disability-adjusted life years. In the …
1.79% of the global burden of disease measured in disability-adjusted life years. In the …
An improved overlap** k-means clustering method for medical applications
S Khanmohammadi, N Adibeig… - Expert Systems with …, 2017 - Elsevier
Data clustering has been proven to be an effective method for discovering structure in
medical datasets. The majority of clustering algorithms produce exclusive clusters meaning …
medical datasets. The majority of clustering algorithms produce exclusive clusters meaning …
A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0
This review is on the various techniques and methodologies applied to sensor based
monitoring of the quality and control of defects in an advanced joining process named …
monitoring of the quality and control of defects in an advanced joining process named …
Visibility improvement and mass segmentation of mammogram images using quantile separated histogram equalisation with local contrast enhancement
In this work, the authors develop a working software‐based approach named 'linearly
quantile separated histogram equalisation‐grey relational analysis' for mammogram image …
quantile separated histogram equalisation‐grey relational analysis' for mammogram image …
Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images
Automated segmentation of object boundaries or surfaces is crucial for quantitative image
analysis in numerous biomedical applications. For example, retinal surfaces in optical …
analysis in numerous biomedical applications. For example, retinal surfaces in optical …
[HTML][HTML] Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning
The increasing gap between the demand and productivity of maize crop is a point of concern
for the food industry, and farmers. Its' susceptibility to diseases such as Turcicum Leaf Blight …
for the food industry, and farmers. Its' susceptibility to diseases such as Turcicum Leaf Blight …