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Review Open access Sep 2026

Brain Tumor Classification, Detection, and Segmentation in MRI using Deep Learning Approaches: A Survey

Automated classification, detection, and segmentation of brain tumors from magnetic resonance imaging (MRI) have become central applications of deep learning in neuro-oncology, driven by the time-intensive nature of manual radiological assessment and the inter-observer variability associated with it. This paper first s...

Shreya Ghodeswar, Tanmay Pawara, Shivkumar Rajmane et al. · 0 citations
Review Open access Sep 2026

To Evict or to Merge? A Survey of LLM KV Cache Management Strategies and the SR-KV Framework

Large Language Models (LLMs) rely on a Key-Value (KV) Cache to avoid recomputation of attention information for the previously generated tokens, but the cache keeps growing linearly with the sequence length and thus quickly becomes the dominant memory bottleneck during long context inference. This paper presents a surv...

Chaitra Samant, Dhruv Panchal, Kevin Shah et al. · 0 citations

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