1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
Abstract: Brain tumors are a major menace to human life, requiring an early and accurate diagnosis for the betterment of patient health outcomes. This paper discusses an automated brain tumor ...
Abstract: This paper aims to classify brain tumors using Convolutional Neural Networks (CNNs) applied to MRI images. We employed four models: a custom CNN, VGG16, ResNet101, and a hybrid model ...
Abstract: The increasing prevalence of brain tumors necessitates the development of accurate, automated methods for early diagnosis and localization. Traditional approaches, which rely on manual MRI ...
NEW YORK (AP) — Jason Collins, the NBA's first openly gay player who now serves as an ambassador for the league, is undergoing treatment for a brain tumor, his family said Thursday. Collins announced ...
It was announced Thursday morning that former NBA player and league ambassador Jason Collins is undergoing treatment for a brain tumor. A statement was presented by the NBA on behalf of Collins and ...
Abstract: This paper has achieved high levels of accuracy through the combination of CNNs and RF and been highly praised, especially for medical image recognition studies. This paper concentrates on ...
Sports broadcaster Erin Andrews, a cervical cancer survivor, is joining a national movement to promote early cancer screening, a cause that hits close to home. Andrews, a member of the FOX NFL ...
Abstract: Classifications of brain tumors using MRI or magnetic resonance imaging is a critical responsibility in neurooncology, directly influencing diagnosis, treatment planning, and prognosis. In ...
Abstract: Early and accurate detection of brain tumors is essential for guiding effective treatment, and MRI imaging has become a crucial tool due to its detailed and high-resolution visuals. However, ...
Abstract: Brain tumours present a formidable challenge in healthcare, requiring accurate identification, classification, and severity assessment for effective treatment. Leveraging deep learning ...
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