Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification | ScienceToStartup | ScienceToStartup

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References (8)

[1]

Galar - a large multi-label video capsule endoscopy dataset

2024M. Le Floch, F. Wolf et al.

[2]

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

2023Sheng Zhang, Yanbo Xu et al.

[3]

Asymmetric Loss For Multi-Label Classification

Founder's Pitch

"A novel framework for multi-label classification in video capsule endoscopy that tackles class imbalance using advanced attention mechanisms and optimization strategies."

Medical AI•Score: 4•View PDF ↗

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Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification

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Founder's Pitch

"A novel framework for multi-label classification in video capsule endoscopy that tackles class imbalance using advanced attention mechanisms and optimization strategies."

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Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification

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References (8)

Founder's Pitch

"A novel framework for multi-label classification in video capsule endoscopy that tackles class imbalance using advanced attention mechanisms and optimization strategies."

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