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liquid-based cytology (lbc) dataset  (Mendeley Ltd)

 
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    Mendeley Ltd liquid-based cytology (lbc) dataset
    Liquid Based Cytology (Lbc) Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/liquid-based cytology (lbc) dataset/product/Mendeley Ltd
    Average 90 stars, based on 1 article reviews
    liquid-based cytology (lbc) dataset - by Bioz Stars, 2026-03
    90/100 stars

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    liquid-based cytology (lbc) dataset  (Mendeley Ltd)
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    Mendeley Ltd liquid-based cytology (lbc) dataset
    Liquid Based Cytology (Lbc) Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 90 stars, based on 1 article reviews
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    mendeley lbc dataset  (Mendeley Ltd)
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    Representative images from each category in three open-access datasets: ( a ) The HErlev dataset comprises seven distinct categories of cervical cells, ranging from normal to abnormal. This dataset contains 917 single-cell images, primarily used for developing and evaluating diagnostic models. ( b ) The SipaKMeD dataset includes five cytological cell types—parabasal, superficial-intermediate, koilocytotic, dyskeratotic, and metaplastic—captured from 966 full-slide images. ( c ) The Mendeley dataset, based on liquid-based cytology <t>(LBC)</t> techniques, categorizes cervical lesions into normal and abnormal cases, including Negative for Intraepithelial Lesion or Malignancy (NILM), Low-grade Squamous Intraepithelial Lesion (LSIL), High-grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC). It contains 963 images derived from 460 patient samples.
    Mendeley Lbc Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mendeley lbc dataset/product/Mendeley Ltd
    Average 90 stars, based on 1 article reviews
    mendeley lbc dataset - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    lbc dataset  (Mendeley Ltd)
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    Representative images from each category in three open-access datasets: ( a ) The HErlev dataset comprises seven distinct categories of cervical cells, ranging from normal to abnormal. This dataset contains 917 single-cell images, primarily used for developing and evaluating diagnostic models. ( b ) The SipaKMeD dataset includes five cytological cell types—parabasal, superficial-intermediate, koilocytotic, dyskeratotic, and metaplastic—captured from 966 full-slide images. ( c ) The Mendeley dataset, based on liquid-based cytology <t>(LBC)</t> techniques, categorizes cervical lesions into normal and abnormal cases, including Negative for Intraepithelial Lesion or Malignancy (NILM), Low-grade Squamous Intraepithelial Lesion (LSIL), High-grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC). It contains 963 images derived from 460 patient samples.
    Lbc Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lbc dataset/product/Mendeley Ltd
    Average 90 stars, based on 1 article reviews
    lbc dataset - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    lbc pap smear datasets  (Mendeley Ltd)
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    Representative images from each category in three open-access datasets: ( a ) The HErlev dataset comprises seven distinct categories of cervical cells, ranging from normal to abnormal. This dataset contains 917 single-cell images, primarily used for developing and evaluating diagnostic models. ( b ) The SipaKMeD dataset includes five cytological cell types—parabasal, superficial-intermediate, koilocytotic, dyskeratotic, and metaplastic—captured from 966 full-slide images. ( c ) The Mendeley dataset, based on liquid-based cytology <t>(LBC)</t> techniques, categorizes cervical lesions into normal and abnormal cases, including Negative for Intraepithelial Lesion or Malignancy (NILM), Low-grade Squamous Intraepithelial Lesion (LSIL), High-grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC). It contains 963 images derived from 460 patient samples.
    Lbc Pap Smear Datasets, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Representative images from each category in three open-access datasets: ( a ) The HErlev dataset comprises seven distinct categories of cervical cells, ranging from normal to abnormal. This dataset contains 917 single-cell images, primarily used for developing and evaluating diagnostic models. ( b ) The SipaKMeD dataset includes five cytological cell types—parabasal, superficial-intermediate, koilocytotic, dyskeratotic, and metaplastic—captured from 966 full-slide images. ( c ) The Mendeley dataset, based on liquid-based cytology (LBC) techniques, categorizes cervical lesions into normal and abnormal cases, including Negative for Intraepithelial Lesion or Malignancy (NILM), Low-grade Squamous Intraepithelial Lesion (LSIL), High-grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC). It contains 963 images derived from 460 patient samples.

    Journal: Diagnostics

    Article Title: RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification

    doi: 10.3390/diagnostics15030364

    Figure Lengend Snippet: Representative images from each category in three open-access datasets: ( a ) The HErlev dataset comprises seven distinct categories of cervical cells, ranging from normal to abnormal. This dataset contains 917 single-cell images, primarily used for developing and evaluating diagnostic models. ( b ) The SipaKMeD dataset includes five cytological cell types—parabasal, superficial-intermediate, koilocytotic, dyskeratotic, and metaplastic—captured from 966 full-slide images. ( c ) The Mendeley dataset, based on liquid-based cytology (LBC) techniques, categorizes cervical lesions into normal and abnormal cases, including Negative for Intraepithelial Lesion or Malignancy (NILM), Low-grade Squamous Intraepithelial Lesion (LSIL), High-grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC). It contains 963 images derived from 460 patient samples.

    Article Snippet: The Mendeley LBC dataset [ ] contains 963 liquid-based cytology (LBC) images derived from the Pap smears of 460 patients.

    Techniques: Diagnostic Assay, Derivative Assay