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Health of Things Melanoma Detection System—detection and segmentation of melanoma in dermoscopic images applied to edge computing using deep learning and …
According to the World Health Organization (WHO), melanoma is a type of cancer that
affects people globally in different parts of the human body, leading to deaths of thousands …
affects people globally in different parts of the human body, leading to deaths of thousands …
Segmentation and identification of brain tumour in MRI images using PG-OneShot learning CNN model
Brain tumour segmentation plays a critical role in the diagnosis, treatment planning, and
monitoring of brain tumour patients. However, accurate and efficient segmentation remains …
monitoring of brain tumour patients. However, accurate and efficient segmentation remains …
A novel generative model for brain tumor detection using magnetic resonance imaging
JJDC Nascimento, AG Marques… - … Medical Imaging and …, 2025 - Elsevier
Brain tumors are a disease that kills thousands of people worldwide each year. Early
identification through diagnosis is essential for monitoring and treating patients. The …
identification through diagnosis is essential for monitoring and treating patients. The …
Cross-Domain Human Activity Recognition via Transfer Learning
Y Zhou, Y Dong - … Joint Conference on Neural Networks (IJCNN …, 2024 - ieeexplore.ieee.org
In recent years, human activity recognition (HAR) based on wearable sensors has gained
increasing attention, especially in the fields of medical health monitoring and exercise …
increasing attention, especially in the fields of medical health monitoring and exercise …