RESUMO
BACKGROUND: Early diagnosis of breast cancer is crucial to perform effective therapy. Many medical imaging modalities including MRI, CT, and ultrasound are used to diagnose cancer. OBJECTIVE: This study aims to investigate feasibility of applying transfer learning techniques to train convoluted neural networks (CNNs) to automatically diagnose breast cancer via ultrasound images. METHODS: Transfer learning techniques helped CNNs recognise breast cancer in ultrasound images. Each model's training and validation accuracies were assessed using the ultrasound image dataset. Ultrasound images educated and tested the models. RESULTS: MobileNet had the greatest accuracy during training and DenseNet121 during validation. Transfer learning algorithms can detect breast cancer in ultrasound images. CONCLUSIONS: Based on the results, transfer learning models may be useful for automated breast cancer diagnosis in ultrasound images. However, only a trained medical professional should diagnose cancer, and computational approaches should only be used to help make quick decisions.
Assuntos
Neoplasias da Mama , Aprendizado Profundo , Humanos , Feminino , Detecção Precoce de Câncer , Redes Neurais de Computação , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , TecnologiaRESUMO
Alzheimer's disease (AD) is the most common neurodegenerative disorder and is characterized by the deposition of ß-Amyloid (Aß) plaques which contribute to its pathology. The present study was aimed at exploring the protective effects of euxanthone against Aß-induced neurotoxicity both in vivo and in vitro. We found that euxanthone significantly attenuated Aß1-42-induced memory and spatial learning dysfunction and also significantly reversed Aß1-42-induced neuronal apoptosis and autophagy in the hippocampal region. Euxanthone also protected the neuroblastic PC12 cells against Aß1-42-induced oxidative stress and apoptosis by inducing autophagy. In conclusion, euxanthone exerts its neuroprotective effect against Aß1-42 by inducing autophagy, indicating its potential therapeutic role in AD.
