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Advancements and prospects of machine learning in medical diagnostics: unveiling the future of diagnostic precision
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
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 …
CNT and graphene-based transistor biosensors for cancer detection: a review
An essential aspect of successful cancer diagnosis is the identification of malignant tumors
during the early stages of development, as this can significantly diminish patient mortality …
during the early stages of development, as this can significantly diminish patient mortality …
Vision transformers, ensemble model, and transfer learning leveraging explainable ai for brain tumor detection and classification
The abnormal growth of malignant or nonmalignant tissues in the brain causes long-term
damage to the brain. Magnetic resonance imaging (MRI) is one of the most common …
damage to the brain. Magnetic resonance imaging (MRI) is one of the most common …
NeuroNet19: an explainable deep neural network model for the classification of brain tumors using magnetic resonance imaging data
Brain tumors (BTs) are one of the deadliest diseases that can significantly shorten a person's
life. In recent years, deep learning has become increasingly popular for detecting and …
life. In recent years, deep learning has become increasingly popular for detecting and …
Brain tumor detection using VGG19 model on adadelta and SGD optimizer
In both grown-ups and juvenile, brain tumors are the tenth most predominant cause of death
rate. There are many different sorts of tumors, and each one has extremely slim odds of …
rate. There are many different sorts of tumors, and each one has extremely slim odds of …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
Crossover smell agent optimized multilayer perceptron for precise brain tumor classification on MRI images
M Arumugam, A Thiyagarajan, L Adhi… - Expert Systems with …, 2024 - Elsevier
The Brain tumor is considered an unusual growth of cells in the nervous system that restricts
the normal functionality of the brain. However, is generated in the skull and pressures the …
the normal functionality of the brain. However, is generated in the skull and pressures the …
[HTML][HTML] Deep learning ensemble-based automated and high-performing recognition of coffee leaf disease
Coffee is the world's most traded tropical crop, accounting for most export profits, and is a
significant source of income for the countries in which it is produced. To meet the needs of …
significant source of income for the countries in which it is produced. To meet the needs of …
Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
T Vaiyapuri, J Mahalingam, S Ahmad… - IEEE …, 2023 - ieeexplore.ieee.org
Brain tumour (BT) detection involves the process of identifying the presence of a brain
tumour in medical imaging, such as MRI scans. BT detection often relies on medical imaging …
tumour in medical imaging, such as MRI scans. BT detection often relies on medical imaging …