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Brain tumor detection and classification using machine learning: a comprehensive survey
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions
Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …
learning and machine learning techniques used for diagnosing skin cancer. While …
Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI …
This manuscript proposes a self-attention based progressive generative adversarial network
optimized with momentum search optimization algorithm for brain tumor classification on …
optimized with momentum search optimization algorithm for brain tumor classification on …
[HTML][HTML] Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
A deep learning approach for brain tumor classification using MRI images
Brain tumors can be fatal if not detected early enough. Manually diagnosing brain tumors
requires the radiologist's experience and expertise, which may not always be available …
requires the radiologist's experience and expertise, which may not always be available …
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
Detection and classification of brain tumor using hybrid deep learning models
Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving
lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for …
lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for …
A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
Serious consequences due to brain tumors necessitate a timely and accurate diagnosis.
However, obstacles such as suboptimal imaging quality, issues with data integrity, varying …
However, obstacles such as suboptimal imaging quality, issues with data integrity, varying …
[HTML][HTML] A survey of brain tumor segmentation and classification algorithms
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
Breast Cancer classification depends on the dynamic Dipper Throated optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …