Deep learning for multi-grade brain tumor detection and classification: a prospective survey

Bhagyalaxmi, K.; Dwarakanath, B.; Reddy, P. Vijaya Pal

doi:10.1007/s11042-024-18129-8

“…Numerous scientific studies focus on brain tumor diagnosis, revealing that deep learning has led to significant advancements in this area [9,[33][34][35][36][37]. Deep learning has become a groundbreaking method, offering crucial benefits for accurately diagnosing brain tumors due to their complexity.…”

Section: Introductionmentioning

confidence: 99%

“…Research indicates that deep learning has evolved into an innovative and impactful approach in this field. Bhagyalaxmi et al [36] found that deep learning, particularly CNNs, shows promise for brain tumor detection. While their review outlines current techniques, they suggest future research explore hybrid models combining deep learning with other methodologies to maximize effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification

Paçal

¹

,

Çelik

²

,

Bayram

³

et al. 2024

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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Enhanced brain tumor detection and classification using a deep image recognition generative adversarial network (DIR-GAN): a comparative study on MRI, X-ray, and FigShare datasets

Karpakam¹,

Kumareshan²

2025

Neural Comput & Applic

2

0

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

A synaptic deep tumor sense predictor system for brain tumor detection and classification

Dutta¹,

Bokhari²,

Alghayadh³

et al. 2025

Alexandria Engineering Journal

0

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

Deep learning for multi-grade brain tumor detection and classification: a prospective survey

Cited by 15 publications

References 65 publications

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification

Enhanced brain tumor detection and classification using a deep image recognition generative adversarial network (DIR-GAN): a comparative study on MRI, X-ray, and FigShare datasets

A synaptic deep tumor sense predictor system for brain tumor detection and classification

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