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1.
IEEE Trans Image Process ; 28(5): 2116-2125, 2019 May.
Artículo en Inglés | MEDLINE | ID: mdl-30452367

RESUMEN

Deep convolutional neural networks (CNNs) have revolutionized the computer vision research and have seen unprecedented adoption for multiple tasks, such as classification, detection, and caption generation. However, they offer little transparency into their inner workings and are often treated as black boxes that deliver excellent performance. In this paper, we aim at alleviating this opaqueness of CNNs by providing visual explanations for the network's predictions. Our approach can analyze a variety of CNN-based models trained for computer vision applications, such as object recognition and caption generation. Unlike the existing methods, we achieve this via unraveling the forward pass operation. The proposed method exploits feature dependencies across the layer hierarchy and uncovers the discriminative image locations that guide the network's predictions. We name these locations CNN fixations, loosely analogous to human eye fixations. Our approach is a generic method that requires no architectural changes, additional training, or gradient computation, and computes the important image locations (CNN fixations). We demonstrate through a variety of applications that our approach is able to localize the discriminative image locations across different network architectures, diverse vision tasks, and data modalities.

2.
IEEE Trans Image Process ; 26(5): 2508-2518, 2017 May.
Artículo en Inglés | MEDLINE | ID: mdl-28362609

RESUMEN

The study of eye gaze fixations on photographic images is an active research area. In contrast, the image sub-category of freehand sketches has not received as much attention for such studies. In this paper, we analyze the results of a free-viewing gaze fixation study conducted on 3904 freehand sketches distributed across 160 object categories. Our analysis shows that fixation sequences exhibit marked consistency within a sketch, across sketches of a category and even across suitably grouped sets of categories. This multi-level consistency is remarkable given the variability in depiction and extreme image content sparsity that characterizes hand-drawn object sketches. In this paper, we show that the multi-level consistency in the fixation data can be exploited to 1) predict a test sketch's category given only its fixation sequence and 2) build a computational model which predicts part-labels underlying fixations on objects. We hope that our findings motivate the community to deem sketch-like representations worthy of gaze-based studies vis-a-vis photographic images.


Asunto(s)
Fijación Ocular/fisiología , Procesamiento de Imagen Asistido por Computador/métodos , Redes Neurales de la Computación , Adulto , Algoritmos , Femenino , Humanos , Masculino , Percepción Visual , Adulto Joven
3.
Drug Dev Ind Pharm ; 37(4): 436-45, 2011 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-20923389

RESUMEN

CONTEXT: Hydrophilic and hydrophobic polymer-based nicorandil (10 mg)-loaded peroral tablets were prepared using the wet granulation technique. The influence of varying amounts of hydroxypropyl methylcellulose (HPMC) (30-50 mg), ethylcellulose (2-4 mg), microcrystalline cellulose (5-20 mg) and Aerosil® (5-12 mg) in conjunction with the constant amounts (3 mg) of glidant and lubricant (magnesium stearate and talc) on the in vitro performances of the tablets (hardness, friability, weight variation, thickness uniformity, drug content, and drug release behavior) were investigated. OBJECTIVE: The objectives of this study were (i) to select a nicorandil-loaded peroral tablet that matched the in vitro dissolution profile of once-daily commercial sustained-release tablet, and (ii) to compare the in vivo sustaining/controlling efficacy of the selected peroral tablet with that of its commercial counterparts. RESULTS AND DISCUSSION: Because the nicorandil (10 mg)-loaded tablet prepared based on F-IX composition (50 mg HPMC, 4 mg ethylcellulose, 10 mg MCC and 3 mg glidant and lubricant) showed a release profile comparable to that of the Nikoran® OD SR tablet release profile, the tablet with this composition was considered to be the optimized/selected formulation and, therefore, was subjected to stability study and in vivo study in rabbits. Despite of the higher C(max) and AUC values obtained with the optimized tablet, there was no sign of difference between the optimized- and Nikoran® OD SR- tablets following a single-dose crossover oral administration into rabbit. CONCLUSION: The optimized tablet could be used as an alternative to the commercial once-daily tablet.


Asunto(s)
Nicorandil/administración & dosificación , Animales , Disponibilidad Biológica , Celulosa/administración & dosificación , Celulosa/análogos & derivados , Preparaciones de Acción Retardada , Interacciones Hidrofóbicas e Hidrofílicas , Derivados de la Hipromelosa , Metilcelulosa/administración & dosificación , Metilcelulosa/análogos & derivados , Nicorandil/química , Conejos , Dióxido de Silicio/administración & dosificación , Solubilidad , Comprimidos
4.
PDA J Pharm Sci Technol ; 62(2): 125-54, 2008.
Artículo en Inglés | MEDLINE | ID: mdl-18540538

RESUMEN

In the last couple of decades, use of biodegradable polymer-based microspheres has been recognized as an interesting and promising approach for parenteral controlled delivery of therapeutic peptide/protein, including antigens. The main objectives of this review are (i) to update the current state of art of manufacturing of peptide/protein-loaded microspheres through both conventional and newer microencapsulation techniques, and (ii) to bring into focus the various possible instability problems, and the investigated mechanistic ways to obviate the instability problems of peptide/protein drug during microspheres preparation as well as its release from the microspheres. The solubilization, stabilization, and preservation enhancing excipients that are used in peptide/protein-loaded microspheres are briefly overviewed.


Asunto(s)
Microesferas , Péptidos/administración & dosificación , Proteínas/administración & dosificación , Química Farmacéutica , Preparaciones de Acción Retardada , Estabilidad de Medicamentos , Excipientes/química , Inyecciones , Péptidos/química , Polímeros/química , Proteínas/química , Tecnología Farmacéutica/métodos
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