BRIDGING THE GAP: EXPLORING INTERPRETABILITY IN DEEP LEARNING MODELS FOR BRAIN TUMOR DETECTION AND DIAGNOSIS FROM MRI IMAGES

The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis.DL models have shown remarkable promise for classifying brain tumors Containers from Magnetic Resonance Imaging (MRI) scans.However, despite their impressive performance, the opaque nature of DL model

Public Collections concern about the environmental impact of economic activities has significantly increased around the globe in recent years.Within the scope of unlawful acts, environmental delicts are among the most serious ones in terms of environmental impact, the consequences of which directly affect the quality and development of agriculture

Проблематика.Фотокаталітичні (ФК) методи Containers мають перспективи застосування в очищенні та знезараженні довкілля від органічних сполук, які забруднюють територію України внаслідок воєнни