X-ray image analysis is primarily performed by medical specialists. Patients expect a correct
interpretation of these images regardless of cost. Despite various advantages of chest …

Background and Objectives: Brain tumors are complex diseases that require careful
diagnosis and treatment. A minor error in the diagnosis may easily lead to significant …

In recent years, data augmentation has advanced to the point where it no longer relies on
traditional photometric or geometric image processing techniques, such as rotation, scale …

Lung cancer remains the deadliest cancer type worldwide, necessitating improved early
detection and diagnostic methods to reduce the high mortality rate. Artificial intelligence …

Accurate segmentation of brain tumours images is crucial for diagnosis, treatment planning,
and monitoring of disease progression. However, acquiring sufficient medical imaging data …

AI algorithms can analyze medical images, such as X-rays, MRIs, and CT scans, assisting
doctors in detecting diseases and making more accurate diagnoses. However, large …

Accurate prediction of colon cancer through histopathology images is crucial for diagnosis
and treatment. Despite deep learning models showing promise in this domain, a …

AI models and especially deep learning models have found applications across various
medical domains. While many studies focus on using electronic health records (EHRs) data …

Osteosarcoma is a type of bone cancer. Its diagnosis refers to anatomopathology by
examining tissue samples under the microscope. The goal of this examination is to …

Effective and accurate diagnosis of Autism Spectrum Disorder (ASD) has become crucial for
early intervention and a better outcome for patients. This study attempts to improve ASD …