The Comprehensive Review of Neural Network: An Intelligent Medical Image Compression for Data Sharing

In the healthcare environment, digital images are the most commonly shared information. It has become a vital resource in health care services that facilitates decision-making and treatment procedures. The medical image requires large volumes of storage and the storage scale continues to grow because of the advancement of medical image technology. To enhance the interaction and coordination between healthcare institutions, the efficient exchange of medical information is necessary. Therefore, the sharing of the medical image with zero loss of information and efficiency needs to be guaranteed exactly. Image compression helps ensure that the purpose of sharing this data from a medical image must be as intelligent as possible to contain valuable information while at the same time minimizing unnecessary diagnostic information. Artificial Neural Network has been used to solve many issues in the processing of images. It has proved its dominance in the handling of noisy or incomplete image compression applications over traditional methods. It contributes to the resulting image by a high compression ratio and noise reduction. This paper reviews previous studies on the compression of intelligent medical images with the neural network approach to data sharing

Improving pulse crops as a source of protein, starch and micronutrients

Pulse crops have been known for a long time to have beneficial nutritional profiles for human diets but have been neglected in terms of cultivation, consumption and scientific research in many parts of the world. Broad dietary shifts will be required if anthropogenic climate change is to be mitigated in the future, and pulse crops should be an important component of this change by providing an environmentally sustainable source of protein, resistant starch and micronutrients. Further enhancement of the nutritional composition of pulse crops could benefit human health, helping to alleviate micronutrient deficiencies and reduce risk of chronic diseases such as type 2 diabetes. This paper reviews current knowledge regarding the nutritional content of pea (Pisum sativum L.) and faba bean (Vicia faba L.), two major UK pulse crops, and discusses the potential for their genetic improvement

Mobile learning: cell phones and PDAs as educational learning tools for students in tertiary institutions

Mobile learning is a new model of e-learning, which combines mobile computing and e-learning. With this new technology, learning will become more learner-centered and informal, rather than teacher-centered and formal. This paper reviewed and discusses the fact that Cell phones and PDAs can be used as educational learning tools by students in tertiary institutions. The knowledge acquired from this paper is useful to university administrators, ICT policy makers and academicians in developing countries. Since this idea succeeded in developed countries like Japan, Britain, USA, and Denmark among others, it is unlikely to fail in developing countries

Papillary thyroid carcinoma

Papillary thyroid carcinoma is a malignant epithelial tumour showing evidence of follicular cell differentiation and a set of distinctive nuclear features. Papillary thyroid carcinoma is usually invasive. Papillae, invasion or cytological features of papillary thyroid carcinoma are required

Follicular thyroid carcinoma

Follicular thyroid carcinoma (FTC) is a thyroid malignancy arising from follicular cells in which the diagnostic nuclear features of papillary thyroid carcinoma (PTC) are lacking. The lesions are usually encapsulated and show invasive growt

Pitfalls in Challenging Thyroid Tumors: Emphasis on Differential Diagnosis and Ancillary Biomarkers

Thyroid pathology encompasses a heterogenous group of clinicopathological entities including rare and diagnostically challenging neoplasms. The review is focused on morphological, immunohistochemical, and molecular features of rare thyroid neoplasms that can pose diagnostic problems. The tumors are organized based on growth patterns including thyroid neoplasms with predominantly papillary, follicular, solid, and spindle cell growth pattern, as well as neoplasms with distinct cytological characteristics. A special section is also dedicated to rare thyroid tumors with peculiar patterns including thyroid carcinoma with Ewing family tumor elements and intrathyroidal thymic-related neoplasms