Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation.

In accordance with the inability of various hair artefacts subjected to dermoscopic medical images, undergoing illumination challenges that include chest-Xray featuring conditions of imaging acquisi-tion situations built with clinical segmentation. The study proposed a novel deep-convolutional neural network (CNN)-integrated methodology for applying medical image segmentation upon chest-Xray and dermoscopic clinical images. The study develops a novel technique of segmenting medical images merged with CNNs with an architectural comparison that incorporates neural networks of U-net and fully convolutional networks (FCN) schemas with loss functions associated with Jaccard distance and Binary-cross entropy under optimised stochastic gradient descent + Nesterov practices.

Application of PRF in surgical management of periapical lesions.

Aims And Objectives: Platelet rich fibrin is widely used in stimulation and acceleration of soft tissue and bone healing because of local and continuous delivery of growth factors and proteins, mimicking the needs of the physiological wound healing and reparative tissue processes. This article will serve to introduce a second generation platelet concentrate, platelet-rich fibrin (PRF).

Materials And Methods: Fifteen cases are presented in which conventional endodontic therapy failed to resolve the problem and periapical root-end surgery was required.