Cytology Image Analysis Techniques Toward Automation: Systematically Revisited

Mitra Shyamali; Das Nibaran; Dey SoumyajyotiChakraborty SukantaNasipuri MitaNaskar Mrinal Kanti

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Cytology Image Analysis Techniques Toward Automation: Systematically Revisited

机译：Cytology Image Analysis Techniques Toward Automation: Systematically Revisited

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Cytology is a branch of pathology that deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is used to indicate solid organ cytology. Automation in cytology started in the early 1950s with an aim to reduce manual efforts in the diagnosis of cancer. The influx of intelligent systems with high computational power and improved specimen collection techniques helped to achieve technological heights in the cytology automation process. In the present survey, we focus on image analysis techniques paving the way to automation in cytology. We take a short tour of 17 types of solid organ cytology to explore various segmentation and/or classification techniques that evolved during the past three decades to automate cytology image analysis. It is observed that most of the works are aligned toward three types of cytology: Cervical, Breast, and Respiratory tract cytology. These are discussed elaborately in the article. Commercial systems developed during the period are also summarized to comprehend the overall growth in respective domains. Finally, we discuss different state-of-the-art methods and related challenges to provide prolific and competent future research directions in bringing cytology-based commercial systems into the mainstream.

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《ACM computing surveys》 |2022年第3期|52.1-52.41|共41页
作者
Mitra Shyamali; Das Nibaran; Dey SoumyajyotiChakraborty SukantaNasipuri MitaNaskar Mrinal Kanti;
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作者单位

Jadavpur Univ, Dept IEE, Kolkata 700032, WB, India;

Jadavpur Univ, Dept CSE, Kolkata 700032, WB, India;

Theism Med Diagnost Ctr, Kolkata 700030, WB, IndiaJadavpur Univ, Dept ETCE, Kolkata 700032, WB, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Cytology survey; image segmentation; image classification; malignant and benign; computer aided diagnosis;

Cytology Image Analysis Techniques Toward Automation: Systematically Revisited

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