Brain cancer is acknowledged as one of the most aggressive tumors, with a significant
impact on patient survival rates. Unfortunately, approximately 70% of patients diagnosed …

Myositis is a rare muscle disorder resulting from the immune system's attack on the muscle
cells, leading to muscle weaknesses. A precise and early diagnosis of the illness is crucial …

In deep learning, transfer learning and ensemble models have shown promise in improving
computer-aided disease diagnosis. However, applying the transfer learning and ensemble …

Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants,
commonly diagnosed through cranial ultrasound imaging. This study presents an advanced …

Method This paper presents a Deep Learning (DL)-based You Look Only Once (YOLOv7)
model in combination with the Grab Cut algorithm to extract the foreground of the tumor …

Soybeans are an essential source of food, protein, and oil worldwide, and the nodules on
their root systems play a critical role in nitrogen fixation and plant growth. In this study, we …

Acute lymphoblastic leukaemia (ALL) is a blood malignancy that mainly affects adults and
children. This study looks into the use of deep learning, specifically Convolutional Neural …

Brain tumors arise from the emergence of abnormal cells in brain tissue and are considered
one of the most perilous conditions affecting individuals of all ages, including both children …

Object detection models represented by YOLO series have been widely used and have
achieved great results on the high quality datasets, but not all the working conditions are …

La detección precoz y la estadificación precisa de los tumores cerebrales son
fundamentales para aplicar estrategias de tratamiento eficaces y mejorar la evolución de los …