A new imaging breakthrough combines ultrasound and light-based techniques to generate vivid 3D images that show both tissue ...
Blood test detects 81% of earliest-stage lung cancers by measuring DNA disorder instead of specific mutations, with only 5% ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording where ...
Abstract: Early Detection of brain tumors is essential not only for effective diagnosis but also for improving patient outcomes. This study introduces an automated brain tumor classification system ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...
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 ...
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 ...
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