Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection.

Due to the exponential growth of high-quality fake photos on social media and the Internet, it is critical to develop robust forgery detection tools. Traditional picture- and video-editing techniques include copying areas of the image, referred to as the copy-move approach. The standard image processing methods physically search for patterns relevant to the duplicated material, restricting the usage in enormous data categorization. On the contrary, while deep learning (DL) models have exhibited improved performance, they have significant generalization concerns because of their high reliance on training datasets and the requirement for good hyperparameter selection. With this in mind, this article provides an automated deep learning-based fusion model for detecting and localizing copy-move forgeries (DLFM-CMDFC). The proposed DLFM-CMDFC technique combines models of generative adversarial networks (GANs) and densely connected networks (DenseNets). The two outputs are combined in the DLFM-CMDFC technique to create a layer for encoding the input vectors with the initial layer of an extreme learning machine (ELM) classifier. Additionally, the ELM model's weight and bias values are optimally adjusted using the artificial fish swarm algorithm (AFSA). The networks' outputs are supplied into the merger unit as input. Finally, a faked image is used to identify the difference between the input and target areas. Two benchmark datasets are used to validate the proposed model's performance. The experimental results established the proposed model's superiority over recently developed approaches.

Malignant mesothelioma presenting as stroke--a case report.

A case of a 64-year-old man with metastatic malignant mesothelioma is described in detail. When he presented to us he gave a history suggestive of transient ischaemic attack (TIA) 2 weeks before and 3 days after admission he developed weakness of the left upper limb. Computed tomographic scan of the brain revealed a solitary metastasis in the right cerebrum. A few days later, he developed subcutaneous metastasis in the chin. Malignant mesothelioma is considered to metastasize rarely and to spread locally. We suggest that distant metastasis in malignant mesothelioma is not uncommon and may be considered to behave like other forms of lung cancer. Treatment modalities should be studied in such patients.