Survey on Fuzzy Associative Classifications Techniques and Their Performance Evaluation with Different Fuzzy Clustering Techniques Over Big Data

Bhukya, Raghuram; Gyani, Jayadev

doi:10.1007/978-981-15-1420-3_43

Lecture Notes in Electrical Engineering

2020

DOI: 10.1007/978-981-15-1420-3_43

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Survey on Fuzzy Associative Classifications Techniques and Their Performance Evaluation with Different Fuzzy Clustering Techniques Over Big Data

Raghuram Bhukya

Jayadev Gyani

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2021

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Histological Image Segmentation With Fuzzy Clustering Method

Rahebi¹

2021

European Journal of Science and Technology

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In this study, a method for nuclei image segmentation in histopathological images is proposed. This method is based on a fuzzy clustering method, which is pre-trained on an supplementary domain with very large labeled images, and coupled with an additional network composed of fully connected layers. In this study, Fuzzy Clustering Mean (FCM) was used for clustering and segmentation and the effective ways for breast cancer nuclei detection were obtained. Wherefore, fuzzy clustering means have been used to detect the centers of breast cancer nuclei, then the extracted centers were compared with the ground truth samples. It is worth mentioning, that this work passes through many experimental stages, of detection and segmentation by applying a combination of more than one effective method.

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Histological Image Segmentation With Fuzzy Clustering Method

Rahebi¹

2021

European Journal of Science and Technology

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Survey on Fuzzy Associative Classifications Techniques and Their Performance Evaluation with Different Fuzzy Clustering Techniques Over Big Data

Cited by 1 publication

References 28 publications

Histological Image Segmentation With Fuzzy Clustering Method

Histological Image Segmentation With Fuzzy Clustering Method

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