Accurate demarcation of a biased nucleus from H&amp;E-stained follicular lymphoma tissues samples

Saxena, Pranshu; Goyal, Anjali

doi:10.1080/13682199.2023.2192550

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…In the last category, authors identified cellular nuclei, 29,32 cellular nuclei followed by other cytoplasmic element extraction. 32,35,48,49 Apart from these five major classification standard gene identification and analysis on follicular tissue, 44,45 quantifying different staining 39 B-cell classification, 41 T-cell classification, 38 and small anatomical structure of FL 22 is analyzed in the past over FL tissue sample. The next segment of the paper summarizes different segmentation and feature extraction techniques.…”

Section: Preprocessing Techniquesmentioning

confidence: 99%

“…To accomplish the goal, the authors describe the segmentation methods that can be used to separate the various cytological components from H&E‐stained images. These methods include k‐means clustering followed by manual registration, 20,31 k‐means with watershed and boundary smoothing, 19 L*a*b color model followed by k‐means clustering, 46,49 non‐supervised clustering technique, 21 nonlinear quantization using SOM followed by LDA & BPE, 23 MBIR, 24 non‐grid feature based registration, 22 multivariate image analysis using PCA, 26 adaptive likelihood‐based cell segmentation, 27 mean shift method, 25 watershed with Fourier descriptor, 28 Fourier transformation with most discriminable color‐space, 29 segmentation using region‐based followed by the iterative index and recursive watershed, 30 cell graph based segmentation 32 cell splitting using GMM, 35 thresholding for RBC removal and Otsu to segment nuclei, 33 linear and nonlinear dimensionality reduction, 34 color‐coded‐map based segmentation, 36 histogram thresholding using entropy, 38 deep learning, 18,41,42,48 genetic algorithm, 7 Bayesian neural network, 18 and region based image segmentation 48 . This segmentation algorithm gives a criterion to extract the feature so that we look deep into histopathological images.…”

Section: Computer‐based Analysis Technique For Flmentioning

confidence: 99%

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Review of computer‐assisted diagnosis model to classify follicular lymphoma histology

Saxena,

Aggarwal,

Sinha

et al. 2024

Cell Biochemistry & Function

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The field of image processing is experiencing significant advancements to support professionals in analyzing histological images obtained from biopsies. The primary objective is to enhance the process of diagnosis and prognostic evaluations. Various forms of cancer can be diagnosed by employing different segmentation techniques followed by postprocessing approaches that can identify distinct neoplastic areas. Using computer approaches facilitates a more objective and efficient study of experts. The progressive advancement of histological image analysis holds significant importance in modern medicine. This paper provides an overview of the current advances in segmentation and classification approaches for images of follicular lymphoma. This research analyzes the primary image processing techniques utilized in the various stages of preprocessing, segmentation of the region of interest, classification, and postprocessing as described in the existing literature. The study also examines the strengths and weaknesses associated with these approaches. Additionally, this study encompasses an examination of validation procedures and an exploration of prospective future research roads in the segmentation of neoplasias.

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Section: Preprocessing Techniquesmentioning

confidence: 99%

Section: Computer‐based Analysis Technique For Flmentioning

confidence: 99%

Review of computer‐assisted diagnosis model to classify follicular lymphoma histology

Saxena,

Aggarwal,

Sinha

et al. 2024

Cell Biochemistry & Function

Self Cite

View full text Add to dashboard Cite

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Advances in Medical Technologies and Clinical Practice

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Digital imaging has revolutionized the field of photography and has become an integral part of our daily lives. It involves the use of electronic devices to capture, store, and manipulate images. This research aims to provide an introduction to digital imaging, exploring its history, technology, and applications. The chapter begins by tracing the evolution of digital imaging, from the first digital image created in 1957 to the present day. It delves into the technological advancements that have made digital imaging possible, such as the development of digital cameras, image sensors, and image processing software. The chapter also discusses the various components of a digital image, including pixels, resolution, and colour depth, and their significance in producing high-quality images. Furthermore, the chapter explores the applications of digital imaging in various fields such as healthcare, forensics, art, and entertainment. It examines how digital imaging has transformed these industries, making tasks more efficient, accurate, and cost-effective. Moreover, the chapter addresses the challenges and ethical concerns surrounding digital imaging, such as image manipulation and privacy issues. It also discusses the future of digital imaging, including emerging technologies and potential advancements. Overall, this research paper serves as a comprehensive overview of digital imaging, providing readers with a better understanding of its history, technology, and impact on society.

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Communication Requirements and Performance Metrics for Electric Vehicle Charging

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Electric vehicles, often known as EVs, are often touted as more environmentally friendly and less noisy alternatives to gasoline-powered automobiles. EVs are gaining popularity due to several factors, including declining prices and increased awareness of climate change and environmental issues. This chapter examines the recent developments in electric vehicles (EVs) concerning the trends in battery technology, performance matrix, charging techniques, new challenges in research, and unexplored possibilities. To be more specific, there is an analysis of the current market for electric vehicles across the globe and the potential for the market's growth in the following years. This article presents an in-depth review of the various battery technologies now available, bearing in mind that the battery is one of the most essential components of electric vehicles. In addition, we investigate the several standards presently accessible for charging electric automobiles and the concepts of power regulation and battery energy management.

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Accurate demarcation of a biased nucleus from H&E-stained follicular lymphoma tissues samples

Cited by 3 publications

References 29 publications

Review of computer‐assisted diagnosis model to classify follicular lymphoma histology

Review of computer‐assisted diagnosis model to classify follicular lymphoma histology

Introduction to Digital Imaging

Communication Requirements and Performance Metrics for Electric Vehicle Charging

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