Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF

Overall, the Modified HDFF method shows great promise as a reliable and efficient diagnostic tool for cervical cancer screening. Its superior accuracy across multiple classification tasks highlights its potential for improving early detection and public health outcomes. Further refinement and expanded training datasets can further enhance its performance, making it an invaluable asset in automated cervical cancer detection.

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Publication Details

Journal
Reports of Practical Oncology & Radiotherapy
Published
2025-08-08
DOI
https://doi.org/10.5603/rpor.105867
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF

Dipti Verma, Pooja Patre
Reports of Practical Oncology & Radiotherapy
Brain Tumor Detection and Classification
article

Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF

Dipti Verma, Pooja Patre
article en

Abstract

Overall, the Modified HDFF method shows great promise as a reliable and efficient diagnostic tool for cervical cancer screening. Its superior accuracy across multiple classification tasks highlights its potential for improving early detection and public health outcomes. Further refinement and expanded training datasets can further enhance its performance, making it an invaluable asset in automated cervical cancer detection.

Reports of Practical Oncology & RadiotherapyVol. 30(3)
Chhattisgarh Swami Vivekanand Technical University (IN), Sarguja University (IN)
Openalex Percentile: Top 71%
Brain Tumor Detection and Classification
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