52 research outputs found

    Study to integrate CNN inside a WCE to realize a screening tool

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    International audienceScreening is a method to improve the earlydetection of colorectal cancer. Now, screening is basedon an immunochemical test that look for blood in faecalsamples, but image is the best modality to detect themarker of colorectal cancer : polyps. In 2003 WirelessCapsule Endoscopy was introduced and opened a way tointegrate automatic image processing to realize a screen-ing tool. In parallel Convolutionnal Neural Networkshave demonstrated their high capacity to detect polyps inmany scientific studies, but fail to be integrable. In thisarticle we present our works to integrate CNN or imageprocessing based on a CNN inside a WCE to realize apowerful screening too

    RSC Adv.

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    Developing new biomaterials is an active research area owing to their applications in regenerative medicine, tissue engineering and drug delivery. Elastin-like polypeptides (ELPs) are good candidates for these applications because they are biosourced, biocompatible and biodegradable. With the aim of developing ELP-based micelles for drug delivery applications we have synthesized 15 acyl-ELP compounds by conjugating myristic, palmitic, stearic, oleic or linoleic acid to the N-terminus of three ELPs differing in molar mass. The ELP-fatty acid conjugates have interesting solution behavior. They form micelles at low temperatures and aggregate above the cloud point temperature (Tcp). The critical micelle concentration depends on the fatty acid nature while the micelle size is mainly determined by the ELP block length. We were able to show that ELPs were better hydrated in the micelles than in their individual state in solution. The micelles are stable in phosphate-buffer saline at temperatures below the Tcp, which can vary between 20 °C and 38 °C depending on the length or hydrophilicity of the ELP. Acyl-ELP micelles were loaded with the small hydrophobic molecule Nile red. The encapsulation efficiency and release kinetics showed that the best loading conditions were achieved with the largest ELP conjugated to stearic acid

    Refining the Design of Diblock Elastin-Like Polypeptides for Self-Assembly into Nanoparticles

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    Diblock copolymers based-on elastin-like polypeptide (ELP) have the potential to undergo specific phase transitions when thermally stimulated. This ability is especially suitable to form carriers, micellar structures for instance, for delivering active cargo molecules. Here, we report the design and study of an ELP diblock library based on ELP-[M1V3-i]-[I-j]. First, ELP-[M1V3-i]-[I-j] (i = 20, 40, 60; j = 20, 90) that showed a similar self-assembly propensity (unimer-to-aggregate transition) as their related monoblocks ELP-[M1V3-i] and ELP-[I-j]. By selectively oxidizing methionines of ELP-[M1V3-i] within the different diblocks structures, we have been able to access a thermal phase transition with three distinct regimes (unimers, micelles, aggregates) characteristic of well-defined ELP diblocks.Nanomedicine: an integrative approac

    Etude de la myelinogenese du systeme nerveux peripherique chez la souris normale et le mutant trembler : expression des proteines majeures et des ARN messagers correspondants

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    SIGLECNRS T Bordereau / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

    Peroxisomal beta-oxidation enzyme gene expression in the developing mouse brain

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    International audienceUsing the northern blot technique, the steady-state levels for the mRNAs encoding acyl-CoA oxidase, pristanoyl-CoA oxidase, trans2, 3enoyl-CoA hydratase/3-hydroxyacyl-CoA dehydrogenase multifunctional enzyme type 2, 3-ketoacyl-CoA thiolase and sterol-carrier-protein x during postnatal brain development were measured. The developmental patterns obtained for each mRNA species studied were similar, with an increase in the mRNA level between birth and postnatal day 5, followed by a gradual decrease to 34-55% of the maximal value at postnatal day 30. These results are in agreement with a coordinately controlled expression of the genes involved in VLCFA beta-oxidation during brain development. Moreover, comparison of these developmental profiles with that obtained for ceramide galactosyltransferase showed that the set-up of the very-long-chain fatty acids beta-oxidation system is independent of the myelinating signal in the central nervous system

    Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCU

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    International audienc

    High metabolism and subsequent elongation of 3-hydroxyeicosanoyl-CoA in very-long- chain fatty acid deficient PNS of Trembler mice

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    International audienceThe developmental patterns of the overall fatty acid elongation and of the last two partial activities of microsomal elongase (dehydration and reduction of 3-hydroxyacyl-CoA) were investigated in the PNS of normal and Trembler mice. Unexpectedly, Trembler microsomes synthesized normal C22-CoA amounts from 3-hydroxyeicosanoyl-CoA (3-OHC20-CoA), a C18-CoA elongation intermediate. Hydroxy- acyl-CoA dehydrase and enoyl-CoA reductase activities were found to be higher in the mutant than in the control, whatever the stage of development. Moreover, C20-CoA elongation led to normal C22-CoA and C24-CoA formation in the mutant whereas C20-CoA formation from C18-CoA was always far lower in Trembler than in control. C18-CoA condensing enzyme emerges as the only elongation step involved in the VLCFA deficit evidenced in Trembler PNS

    Gene expression of peroxisomal β-oxidation enzymes in rat brain

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    International audienceDespite increasing insight into peroxisomal beta-oxidation, it is still not clear which enzymes catalyze very-long-chain fatty acid degradation. Using the northern blot and RT-PCR techniques, a brain-specific expression is demonstrated for acyl-CoA oxidase 3II mRNA, thiolase-A and trans2,3enoyl-CoA hydratase/3-hydroxyacyl-CoA dehydrogenase multifunctional enzyme type 2

    Distilling the knowledge in CNN for WCE screening tool

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    International audienceA way to improve the early detection of colorectal cancer is screening. Polyps are a marker of colorectal cancer and the best modality to detect them is the image. In 2003 Wireless Capsule Endoscopy was introduced and opened a way to integrate automatic image processing to realize a screening tool. Moreover, the capacity to detect polyp with Convolutional Neural Network was shown in many scientific studies, but one issue is the integration of these networks. In this article, we present our works to integrate CNN or image processing based on a CNN inside a WCE to realize a powerful screening tool. We apply the knowledge distillation method. We prove that knowledge distillation is efficient from VGG16 to Squeezenet in polyp detection contex
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