A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
[HTML][HTML] Vision transformers in multi-modal brain tumor MRI segmentation: A review
Brain tumors have shown extreme mortality and increasing incidence during recent years,
which bring enormous challenges for the timely diagnosis and effective treatment of brain …
which bring enormous challenges for the timely diagnosis and effective treatment of brain …
Brain tumor analysis using deep learning and VGG-16 ensembling learning approaches
A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no
control over tumor growth. Deep learning has been argued to have the potential to …
control over tumor growth. Deep learning has been argued to have the potential to …
Brain tumor detection based on deep learning approaches and magnetic resonance imaging
Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …
A deep analysis of brain tumor detection from mr images using deep learning networks
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection
The rising number of cases of human Mpox has emerged as a major global concern due to
the daily increase of cases in several countries. The disease presents various skin …
the daily increase of cases in several countries. The disease presents various skin …
Brain tumor segmentation and classification on MRI via deep hybrid representation learning
Detecting brain tumors plays an important role in patients' lives as it can help specialists
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …
[HTML][HTML] Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data
In modern healthcare, the precision of medical image segmentation holds immense
significance for diagnosis and treatment planning. Deep learning techniques, such as …
significance for diagnosis and treatment planning. Deep learning techniques, such as …
Combining CNN features with voting classifiers for optimizing performance of brain tumor classification
Simple Summary This study presents a hybrid model for brain tumor detection. Contrary to
manual featur extraction, features extracted from a convolutional neural network are used to …
manual featur extraction, features extracted from a convolutional neural network are used to …
Review of medical image processing using quantum-enabled algorithms
Efficient and reliable storage, analysis, and transmission of medical images are imperative
for accurate diagnosis, treatment, and management of various diseases. Since quantum …
for accurate diagnosis, treatment, and management of various diseases. Since quantum …