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Abstract: Tumor detection and diagnosis through medical imaging remains an area of concern considering the difficulty posed by the intricacy and differences in the tumor configuration across subjects.

St. Jude’s Children’s Hospital estimates around 400,000 kids around the world will be diagnosed with cancer this year. In the U.S., research and treatments have helped increase survival rates. 80% of ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...

Hugging Face has just released AI Sheets, a free, open-source, and local-first no-code tool designed to radically simplify dataset creation and enrichment with AI. AI Sheets aims to democratize access ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

A New Jersey woman has been given a second chance at life, thanks to a new cancer therapy. Pamela Goldberger, 65, found out in 2023 that she had glioblastoma — a devastating diagnosis with an average ...