Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma.

Glaucoma is a progressive optic neuropathy characterized by peripheral visual field loss, which is caused by degeneration of retinal nerve fibers. The peripheral vision loss due to glaucoma is asymptomatic. If not detected and treated at an early stage, it leads to complete blindness, which is irreversible in nature.

Automated retinal nerve fiber layer defect detection using fundus imaging in glaucoma.

Retinal nerve fiber layer defect (RNFLD) provides an early objective evidence of structural changes in glaucoma. RNFLD detection is currently carried out using imaging modalities like OCT and GDx which are expensive for routine practice. In this regard, we propose a novel automatic method for RNFLD detection and angular width quantification using cost effective redfree fundus images to be practically useful for computer-assisted glaucoma risk assessment.

Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening.

Accurate optic disc (OD) segmentation is an important step in obtaining cup-to-disc ratio-based glaucoma screening using fundus imaging. It is a challenging task because of the subtle OD boundary, blood vessel occlusion and intensity inhomogeneity. In this Letter, the authors propose an improved version of the random walk algorithm for OD segmentation to tackle such challenges.

Hot melt granulation: a facile approach for monolithic osmotic release tablets.

The aim of this work was to develop and evaluate an extended release matrix tablet of glipizide (GP), an oral hypoglycemic agent. Matrices of GP were prepared using microcrystalline cellulose Avicel(™) PH 112, sodium chloride (SC) and polyethylene glycol 6000 (PEG). The content of Kollidon SR (KR), hydroxypropyl methylcellulose K4M premium CR grade (HM) and polyethylene oxide WSR 303 (PO) and/or magnesium hydroxide (MH) was varied in different formulations.

Formulation and optimization of osmotically controlled release tablets of glipizide: hot melt granulation.

Background: The use of water-soluble additives in osmotic release tablets often renders the wet granulation method unsuitable. Hence, it was proposed to investigate the feasibility of preparing granules comprising of osmogen (sodium chloride), alkalizer (sodium carbonate), polyvinyl pyrroidone (Kollidon K 30) and carboxymethyl cellulose sodium (Cekol 30000) by a hot melt technique for obtaining sustained release of glipizide from tablets.

Materials And Methods: Dry powder mixture wetted with Tween 80 was sequentially exposed to 45-110 degrees C for obtaining granules.