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The HQCNN model augmented with BiLSTM and MobileNetV2 achieved a training accuracy of 97.7% and a test accuracy of 89.3% on 128\u2009\u00d7\u2009128-pixel color images, along with an F1 score of 89.81% and a recall of 94.33% for malignant cases, confirming clinical reliability and strong sensitivity in cancer detection. These results demonstrate robust feature extraction, improved contextual learning, and strong generalization for complex medical image classification tasks.<\/jats:p>","DOI":"10.1007\/s42484-025-00288-y","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T06:50:48Z","timestamp":1749797448000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Skin cancer image classification using hybrid quantum deep learning model with BiLSTM and MobileNetV2"],"prefix":"10.1007","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-9651-3119","authenticated-orcid":false,"given":"Ahmed A.","family":"Hussein","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed M.","family":"Montaser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hend A.","family":"Elsayed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"key":"288_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal K, Singh T (2022) Classification of skin cancer images using convolutional neural networks;arXiv preprint arXiv:2202.00678.\u00a0Accessed 12 Jan 2025","DOI":"10.2139\/ssrn.4055037"},{"issue":"8","key":"288_CR2","doi-asserted-by":"publisher","first-page":"e0304868","DOI":"10.1371\/journal.pone.0304868","volume":"19","author":"K Alnowaiser","year":"2024","unstructured":"Alnowaiser K, Saber A, Hassan E, Awad WA (2024) An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis. 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