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Tools, techniques, datasets and application areas for object detection in an image: a review
J Kaur, W Singh - Multimedia Tools and Applications, 2022 - Springer
Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …
images and videos. Over the past, it has gained much attention to do more research on …
A systematic review of object detection from images using deep learning
J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …
systems. Object detection is a challenging task because it involves many parameters …
Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition
Vehicle identification systems are vital components that enable many aspects of
contemporary life, such as safety, trade, transit, and law enforcement. They improve …
contemporary life, such as safety, trade, transit, and law enforcement. They improve …
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 …
one of the most dangerous and deadly diseases that is the second leading cause of cancer …
Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images
R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …
caused a significant outbreak in all countries and regions for both males and females …
A deep learning approach for robust, multi-oriented, and curved text detection
R Ranjbarzadeh, S Jafarzadeh Ghoushchi, S Anari… - Cognitive …, 2024 - Springer
Automatic text localization and segmentation in a normal environment with vertical or curved
texts are core elements of numerous tasks comprising the identification of vehicles and self …
texts are core elements of numerous tasks comprising the identification of vehicles and self …
Scene text detection and recognition: a survey
Scene text detection and recognition have been given a lot of attention in recent years and
have been used in many vision-based applications. In this field, there are various types of …
have been used in many vision-based applications. In this field, there are various types of …
Learning joint relationship attention network for image captioning
C Wang, X Gu - Expert Systems with Applications, 2023 - Elsevier
Image captioning aims at automatically describing the main content of an image with a
complete and natural sentence. Existing attention-based methods often focus on visual …
complete and natural sentence. Existing attention-based methods often focus on visual …
Brain tumor segmentation based on zernike moments, enhanced ant lion optimization, and convolutional neural network in MRI images
A Bagherian Kasgari, R Ranjbarzadeh… - … and Optimization in …, 2023 - Springer
Gliomas that form in glial cells in the spinal cord and brain are the most aggressive and
common kinds of brain tumors (intra-axial brain tumors) due to their rapid progression and …
common kinds of brain tumors (intra-axial brain tumors) due to their rapid progression and …
Scene text understanding: recapitulating the past decade
M Ghosh, H Mukherjee, SM Obaidullah, XZ Gao… - Artificial Intelligence …, 2023 - Springer
Computational perception has indeed been dramatically modified and reformed from
handcrafted feature-based techniques to the advent of deep learning. Scene text …
handcrafted feature-based techniques to the advent of deep learning. Scene text …