
Generating dual structurally and functionally skin-mimicking
2024年1月27日 · Here, dual structurally and functionally skin-mimicking hydrogels are generated by crosslinking cell-membrane compartments. The crosslinked network is formed via free radical polymerization using...
Automatic layer segmentation in H&E images of mice skin …
2021年1月1日 · Such segmentation can be considered the first step in automatically quantifying cutaneous features in different skin layers. The proposed method combines a colour deconvolution method with fuzzy C-mean (FCM) clustering to segment skin layers. A dataset of 7,000 mice skin images was used to evaluate the effectiveness of the proposed method.
Analysis of clonality in cutaneous B‐cell lymphoma and B‐cell ...
2021年7月14日 · To identify clonal neoplastic cells in skin affected by B-cell lymphoma using skin flow cytometry (FCM) techniques, we investigated light-chain restriction using skin FCM with clonality assessed by polymerase chain reaction and …
Segmentation of Skin Lesion Image Using FCM with Color …
Segmentation of Skin Lesion Image Using FCM with Color Transformation Saliency Abstract: In the majority of Western nations including America, Australia and Europe, skin cancer is badly-behaved. Skin concealing, inadequacy of Sun-lights, …
Automatic Skin Cancer Segmentation and Classification using …
In this research, the Fuzzy C-means Clustering-based Convolutional Neural Network (FCM-CNN) is proposed for the automatic segmentation and classification of skin cancer using deep learning. Initially, the data is obtained by the ISIC-2017 dataset, and then pre-processing is performed using a Top hat filter and inpainting approach.
Skin cancer extraction with optimum fuzzy thresholding technique …
2013年9月15日 · In this paper, we implemented the type-1 FCM clustering algorithm for skin cancer segmentation. In the type-1 FCM segmentation algorithm, pixels are classified into different clusters with fuzzy membership functions. The algorithm optimises the process by minimising the cost function, defined as:
Comparison between EM and FCM algorithms in skin tone …
2022年11月18日 · This study aims to investigate implementing EM and FCM algorithms for skin color extraction. The capabilities of three well-known color spaces, namely, RGB, HSV, and YCbCr for skin-tone extraction...
Analysis of clonality in cutaneous B-cell lymphoma and B-cell ...
To identify clonal neoplastic cells in skin affected by B-cell lymphoma using skin flow cytometry (FCM) techniques, we investigated light-chain restriction using skin FCM with clonality assessed by polymerase chain reaction and light-chain restriction by in situ hybridization (ISH).
Creating A New Color Space utilizing PSO and FCM to Perform Skin ...
2021年6月22日 · In this study, first a new color space is created using FCM and PSO algorithms. Then, skin classification has been performed in the new color space utilizing linear and nonlinear modes. Additionally, it has been done in RGB and LAB color spaces by …
Basal cell carcinoma characterization using fusion ex vivo confocal ...
Fluorescence CM (FCM) requires a contrast agent and has been used for the analysis of basal cell carcinomas (BCCs) during Mohs surgery. Conversely, reflectance CM (RCM) is mostly used for in vivo diagnosis of equivocal skin tumours.