A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM.

Diabetic retinopathy (DR) is a global visual indicator of diabetes that leads to blindness and loss of vision. Manual testing presents a more difficult task when attempting to detect DR due to the complexity and variances of DR. Early detection and treatment prevent the diabetic patients from visual loss.

Convolutional neural network-based sea lion optimization algorithm for the detection and classification of diabetic retinopathy.

Aims: Diabetic retinopathy (DR) becomes a complicated type of diabetic that causes damage to the blood vessels of the retina's light-sensitive tissue. DR may initially cause mild symptoms or no symptoms. But prolonged DR results in permanent vision loss, and hence, it is necessary to detect the DR at an early stage.

Hybrid adaptive deep learning classifier for early detection of diabetic retinopathy using optimal feature extraction and classification.

Objectives: Diabetic retinopathy (DR) is one of the leading causes of blindness. It is important to use a comprehensive learning method to identify the DR. However, comprehensive learning methods often rely heavily on encrypted data, which can be costly and time consuming.

Partially defatted tomato seed flour as a fat replacer: effect on physicochemical and sensory characteristics of millet-based cookies.

Abstract: Fat is an essential component for cookies structure and sensory attributes, but there is a necessity to replace or mimic fat in order to prevent lifestyle diseases. Hence, this study investigated the effect of industrial by-product, i.e.

High-throughput roll-to-roll production of polymer biochips for multiplexed DNA detection in point-of-care diagnostics.

Roll-to-roll UV nanoimprint lithography has superior advantages for high-throughput manufacturing of micro- or nano-structures on flexible polymer foils with various geometries and configurations. Our pilot line provides large-scale structure imprinting for cost-effective polymer biochips (4500 biochips/hour), enabling rapid and multiplexed detections. A complete high-volume process chain of the technology for producing structures like μ-sized, triangular optical out-couplers or capillary channels (width: from 1 μm to 2 mm, height: from 200 nm up to 100 μm) to obtain biochips (width: 25 mm, length: 75 mm, height: 100 μm to 1.