Regional Registration of Whole Slide Image Stacks Containing Major Histological Artifacts

Background: High resolution 2D whole slide imaging provides rich information about the tissue structure. This information can be a lot richer if these 2D images can be stacked into a 3D tissue volume. A 3D analysis, however, requires accurate reconstruction of the tissue volume from the 2D image stack. This task is not trivial due to the distortions such as tissue tearing, folding and missing at each slide. Performing registration for the whole tissue slices may be adversely affected by distorted tissue regions. Consequently, regional registration is found to be more effective. In this paper, we propose a new approach to an accurate and robust registration of regions of interest for whole slide images. We introduce the idea of multi-scale attention for registration. Results: Using mean similarity index as the metric, the proposed algorithm (mean +- std: 0.84 +- 0.11) followed by a fine registration algorithm (0.86 +- 0.08) outperformed the state-of-the-art linear whole tissue registration algorithm (0.74 +- 0.19) and the regional version of this algorithm (0.81 +- 0.15). The proposed algorithm also outperforms the state-of-the-art nonlinear registration algorithm (original: 0.82 +- 0.12, regional: 0.77 +- 0.22) for whole slide images and a recently proposed patch-based registration algorithm (patch size 256: 0.79 +- 0.16 , patch size 512: 0.77 +- 0.16) for medical images. Conclusion: Using multi-scale attention mechanism leads to a more robust and accurate solution to the problem of regional registration of whole slide images corrupted in some parts by major histological artifacts in the imaged tissue.

Regional registration of whole slide image stacks containing major histological artifacts

Background High resolution 2D whole slide imaging provides rich information about the tissue structure. This information can be a lot richer if these 2D images can be stacked into a 3D tissue volume. A 3D analysis, however, requires accurate reconstruction of the tissue volume from the 2D image stack. This task is not trivial due to the distortions such as tissue tearing, folding and missing at each slide. Performing registration for the whole tissue slices may be adversely affected by distorted tissue regions. Consequently, regional registration is found to be more effective. In this paper, we propose a new approach to an accurate and robust registration of regions of interest for whole slide images. We introduce the idea of multi-scale attention for registration. Results Using mean similarity index as the metric, the proposed algorithm (mean ± SD $$0.84 \pm 0.11$$ 0.84 ± 0.11 ) followed by a fine registration algorithm ($$0.86 \pm 0.08$$ 0.86 ± 0.08 ) outperformed the state-of-the-art linear whole tissue registration algorithm ($$0.74 \pm 0.19$$ 0.74 ± 0.19 ) and the regional version of this algorithm ($$0.81 \pm 0.15$$ 0.81 ± 0.15 ). The proposed algorithm also outperforms the state-of-the-art nonlinear registration algorithm (original: $$0.82 \pm 0.12$$ 0.82 ± 0.12 , regional: $$0.77 \pm 0.22$$ 0.77 ± 0.22 ) for whole slide images and a recently proposed patch-based registration algorithm (patch size 256: $$0.79 \pm 0.16$$ 0.79 ± 0.16 , patch size 512: $$0.77 \pm 0.16$$ 0.77 ± 0.16 ) for medical images. Conclusion Using multi-scale attention mechanism leads to a more robust and accurate solution to the problem of regional registration of whole slide images corrupted in some parts by major histological artifacts in the imaged tissue.

Regional Registration of Whole Slide Image Stacks Containing Major Histological Artifacts

Background: High resolution 2D whole slide imaging provides rich information about the tissue structure. This information can be a lot richer if these 2D images can be stacked into a 3D tissue volume. A 3D analysis, however, requires accurate reconstruction of the tissue volume from the 2D image stack. This task is not trivial due to the distortions such as tissue tearing, folding and missing at each slide. Performing registration for the whole tissue slices may be adversely affected by distorted tissue regions. Consequently, regional registration is found to be more effective. In this paper, we propose a new approach to an accurate and robust registration of regions of interest for whole slide images. We introduce the idea of multi-scale attention for registration. Results: Using mean similarity index as the metric, the proposed algorithm (mean +- std: 0.84 +- 0.11) followed by a fine registration algorithm (0.86 +- 0.08) outperformed the state-of-the-art linear whole tissue registration algorithm (0.74 +- 0.19) and the regional version of this algorithm (0.81 +- 0.15). The proposed algorithm also outperforms the state-of-the-art nonlinear registration algorithm (original: 0.82 +- 0.12, regional: 0.77 +- 0.22) for whole slide images and a recently proposed patch-based registration algorithm (patch size 256: 0.79 +- 0.16 , patch size 512: 0.77 +- 0.16) for medical images. Conclusion: Using multi-scale attention mechanism leads to a more robust and accurate solution to the problem of regional registration of whole slide images corrupted in some parts by major histological artifacts in the imaged tissue.

Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts

Background: High resolution 2D whole slide imaging provides rich information about the tissue structure. This information can be a lot richer if these 2D images can be stacked into a 3D tissue volume. A 3D analysis, however, requires accurate reconstruction of the tissue volume from the 2D image stack. This task is not trivial due to the distortions that each individual tissue slice experiences while cutting and mounting the tissue on the glass slide. Performing registration for the whole tissue slices may be adversely affected by the deformed tissue regions. Consequently, regional registration is found to be more effective. In this paper, we propose an accurate and robust regional registration algorithm for whole slide images which incrementally focuses registration on the area around the region of interest. Results: Using mean similarity index as the metric, the proposed algorithm (mean +- std: 0.84 +- 0.11) followed by a fine registration algorithm (0.86 +- 0.08) outperformed the state-of-the-art linear whole tissue registration algorithm (0.74 +- 0.19) and the regional version of this algorithm (0.81 +- 0.15). The proposed algorithm also outperforms the state-of-the-art nonlinear registration algorithm (original: 0.82 +- 0.12, regional: 0.77 +- 0.22) for whole slide images and a recently proposed patch-based registration algorithm (patch size 256: 0.79 +- 0.16 , patch size 512: 0.77 +- 0.16) for medical images. Conclusion: The proposed algorithm is a more robust and accurate solution to the problem of regional registration of whole slide images in existence of highly deformed regions in the imaged tissue.

Comparative study of Regulatory requirements of Drug Product in Emerging market

Registration of Pharmaceutical drug product in Emerging Market is most demanding task. Regulatory requirements are harmonized in regulated countries by Common technical document (CTD) filing, while there is diversity of requirements in emerging markets. International conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) has brought regulatory authorities and pharmaceutical industries of US, Japan and Europe together for various aspects of drug registration but there are is no such harmonized guideline for emerging market except Association of Southeast Asian Nations (ASEAN) and Gulf Co-operation Council (GCC) where harmonization exist in clusters with their mutual concern. The optimization and harmonization requirements has become mandatory and can be examined by the incidence of higher cost involved in availability of drugs, quality requirement of premise and research and development, regional registration requirements. Quality, Safety and Efficacy data has significance importance in dossier registration. Pharmaceutical Industries has to comply with regulatory requirement in Emerging market and for betterment of public Health and safety.The review also explains a brief about different regulatory requirement for Registration of drug product in Emerging market and comparative data for registration of dossier application in Emerging market.

Feasibility study for interspecialistic collaboration in active research of urothelial neoplasms of professional origin

Introduction: In Italy only a small fraction of cancer is reported to the supervisory body and recognised as professional by the insurance institution. Among the causes of this sub-notification, especially for lowgrade etiologic fractional cancers such as bladder cancers are the lack of knowledge of carcinogenicity in the occupational field and the consequent incomplete medical history collections. Objectives: Diagnosis of occupational bladder neoplasms and activation of systematic surveillance of tumors of professional origin through an "active research" program. Methods: From July 2010 to July 2017, all patients diagnosed with Bladder Cancer in the departments of Urology of Area Vasta 3 ASUR Marche underwent a first interview and a further anamnestic study in selected cases.When an occupational exposure was recognised, more information for preventive, social security and criminal justice has been acquired. Results: The study highlighted 18 cases of bladder tumors due to occupational exposure to aromatic amines and polycyclic aromatic hydrocarbons, which are the most important risk factor for BC after tobacco smoking. Conclusions: Our study confirmed that active research is an useful tool both for the activation of epidemiological surveillance and for the regional registration of professional tumors. In addition active research of occupational exposure allow obtaining information that can be used for preventive purposes, for criminal justice and for the initiation of medico-legal actions and improvement of working conditions aimed at guaranteeing workers' rights.

Research on Handoff Delay and Mobility Management Cost of Mobility Protocols in Wireless Sensor Networks

An appropriate network model and some suitable performance evaluation criterions including handoff delay and mobility management cost were proposed in this paper. And in this base the performance of Mobile IP protocol and various micromobility protocols was comprehensively compared and investigated. The research results show that the performance is mainly influenced by two factors which are route update methods of mobility support protocols and mobile network parameters. The route update time and mobility management cost of micromobility protocol are obviously shorter than that of Mobile IP. In all researched micromobility protocols, the route update method of Mobile IP Regional Registration protocol has the optimal performance.