Zhou Wang – författare

Androgens and androgen receptors (AR) play critical roles in the development and progression of prostate cancer, the most frequently diagnosed cancer and second leading cause of cancer death in US males.  AR is an androgen-dependent DNA-binding transcription factor that regulates the expression of androgen-responsive genes.  Identification and characterization of androgen-responsive genes provide insights into the cellular mechanisms of androgen action and may lead to new approaches in diagnosis, prognosis, prevention and/or treatment of prostate cancer.   This volume provides critical information from  well respected experts in the field.  Some of the exciting topics include the new understanding of mechanisms underlining the regulation of androgen-responsive gene expression, and functions of various androgen-responsive genes in biological processes essential in carcinogenesis including cell growth, angiogenesis, and epithelial-to-mesenchyme transition (EMT).  Other important aspects addressed are the current and potential clinic applications of knowledge on androgen-responsive gene regulation and function.  This book is intended for researchers, scientists, faculty, and advanced graduate students  with an interest in androgen action and prostate cancer.​

Androgens and androgen receptors (AR) play critical roles in the development and progression of prostate cancer, the most frequently diagnosed cancer and second leading cause of cancer death in US males.  AR is an androgen-dependent DNA-binding transcription factor that regulates the expression of androgen-responsive genes.  Identification and characterization of androgen-responsive genes provide insights into the cellular mechanisms of androgen action and may lead to new approaches in diagnosis, prognosis, prevention and/or treatment of prostate cancer.   This volume provides critical information from  well respected experts in the field.  Some of the exciting topics include the new understanding of mechanisms underlining the regulation of androgen-responsive gene expression, and functions of various androgen-responsive genes in biological processes essential in carcinogenesis including cell growth, angiogenesis, and epithelial-to-mesenchyme transition (EMT).  Other important aspects addressed are the current and potential clinic applications of knowledge on androgen-responsive gene regulation and function.  This book is intended for researchers, scientists, faculty, and advanced graduate students  with an interest in androgen action and prostate cancer.​

Androgens and androgen receptors (AR) play critical roles in the development and progression of prostate cancer, the most frequently diagnosed cancer and second leading cause of cancer death in US males.  AR is an androgen-dependent DNA-binding transcription factor that regulates the expression of androgen-responsive genes.  Identification and characterization of androgen-responsive genes provide insights into the cellular mechanisms of androgen action and may lead to new approaches in diagnosis, prognosis, prevention and/or treatment of prostate cancer.   This volume provides critical information from  well respected experts in the field.  Some of the exciting topics include the new understanding of mechanisms underlining the regulation of androgen-responsive gene expression, and functions of various androgen-responsive genes in biological processes essential in carcinogenesis including cell growth, angiogenesis, and epithelial-to-mesenchyme transition (EMT).  Other important aspects addressed are the current and potential clinic applications of knowledge on androgen-responsive gene regulation and function.  This book is intended for researchers, scientists, faculty, and advanced graduate students  with an interest in androgen action and prostate cancer.​

This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020.The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management.Due to the corona pandemic, ICIAR 2020 was held virtually only.

This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020.The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management.Due to the corona pandemic, ICIAR 2020 was held virtually only.

This Lecture book is about objective image quality assessment—where the aim is to provide computational models that can automatically predict perceptual image quality. The early years of the 21st century have witnessed a tremendous growth in the use of digital images as a means for representing and communicating information. A considerable percentage of this literature is devoted to methods for improving the appearance of images, or for maintaining the appearance of images that are processed. Nevertheless, the quality of digital images, processed or otherwise, is rarely perfect. Images are subject to distortions during acquisition, compression, transmission, processing, and reproduction. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. The goals of this book are as follows; a) to introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems, b) to give a broad treatment of the current state-of-the-art in image quality assessment, by describing leading algorithms that address these engineering problems, and c) to provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past. The book is written to be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.