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Computer Assisted Surgery Volume 22, 2017 - Issue sup1: Innovation in Biomedical Science and Engineering

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Innovation in Biomedical Science and Engineering

Cervical cancer histology image identification method based on texture and lesion area features

Lisheng WeiAnhui Key Laboratory of Detection Technology and Energy Saving Devices, Anhui Polytechnic University, Wuhu, China; Correspondence[email protected]
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Quan GanSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaView further author information

Tao JiSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu, ChinaView further author information

Pages 186-199 | Published online: 16 Oct 2017

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https://doi.org/10.1080/24699322.2017.1389397
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Lidiya Wubshet Habtemariam, Elbetel Taye Zewde & Gizeaddis Lamesgin Simegn. (2022) Cervix Type and Cervical Cancer Classification System Using Deep Learning Techniques. Medical Devices: Evidence and Research 15, pages 163-176.
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