Brain tumor detection analysis using CNN: a review
A Brain Tumor is essentially a malformed cell growth that can be cancerous and non-
cancerous. The tumor in the Brain is the most dangerous disease and can be diagnosed …
cancerous. The tumor in the Brain is the most dangerous disease and can be diagnosed …
Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification
In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …
modalities have transitioned to direct digital capture devices, which have emerged as a …
[HTML][HTML] Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter
Machine learning, a rapidly growing field, has attracted numerous researchers for its ability
to automatically learn from and make predictions based on data. This manuscript presents …
to automatically learn from and make predictions based on data. This manuscript presents …
A novel hybrid ensemble based Alzheimer's identification system using deep learning technique
Alzheimer's disease (AD) is an irreversible neurological degenerative disorder
characterized by the deterioration of brain cells resulting in cognitive impairment. There is a …
characterized by the deterioration of brain cells resulting in cognitive impairment. There is a …
Endometriosis detection and localization in laparoscopic gynecology
Endometriosis is a common gynecologic condition typically treated via laparoscopic surgery.
Its visual versatility makes it hard to identify for non-specialized physicians and challenging …
Its visual versatility makes it hard to identify for non-specialized physicians and challenging …
Brain Tumor Classification Based Deep Transfer Learning Approaches
The group Doctors without Borders is always working to improve healthcare in
underdeveloped countries. By supporting doctors in the identification of brain tumors …
underdeveloped countries. By supporting doctors in the identification of brain tumors …
Brain cancer classification based on multistage ensemble generative adversarial network and convolutional neural network
JG Melekoodappattu… - Cell Biochemistry …, 2023 - Wiley Online Library
An advanced approach that capitalizes on the synergies between multimodal feature fusion
and the dual‐path network is presented in this manuscript. Our proposed methodology …
and the dual‐path network is presented in this manuscript. Our proposed methodology …
Exploring Brain Tumor Classification Using Deep Learning
H Mohamed, A Atia - 2022 2nd International Mobile, Intelligent …, 2022 - ieeexplore.ieee.org
Diagnosis at a beginning period and recognition of the type of cancer can assist doctors and
health experts in determining the most appropriate treatment. The target of this is to research …
health experts in determining the most appropriate treatment. The target of this is to research …
Recognition and Monitoring of Brain Tumor Detection through Deep Learning with Image Processing Techniques
SR Sowmiya, NS Fatima - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The central nervous system is the body's processing centre, composed of the brain and
spinal cord. The brain controls the overall functioning of the human body. The growth of …
spinal cord. The brain controls the overall functioning of the human body. The growth of …
[PDF][PDF] Brain Tumor Detection Analysis Using CNN: A
A Brain Tumor is essentially a malformed cell growth that can be cancerous and non-
cancerous. The tumor in the Brain is the most dangerous disease and can be diagnosed …
cancerous. The tumor in the Brain is the most dangerous disease and can be diagnosed …