{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T11:27:30Z","timestamp":1780572450476,"version":"3.54.1"},"reference-count":46,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T00:00:00Z","timestamp":1741564800000},"content-version":"vor","delay-in-days":434,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Visual analysis of peripheral blood smear slides using medical image analysis is required to diagnose red blood cell (RBC) morphological deformities caused by anemia. The absence of a complete anaemic RBC dataset has hindered the training and testing of deep convolutional neural networks (CNNs) for computer-aided analysis of RBC morphology. We introduce a benchmark RBC image dataset named Anemic RBC (AneRBC) to overcome this problem. This dataset is divided into two versions: AneRBC-I and AneRBC-II. AneRBC-I contains 1000 microscopic images, including 500 healthy and 500 anaemic images with 1224\u2009\u00d7\u2009960 pixel resolution, along with manually generated ground truth of each image. Each image contains approximately 1550 RBC elements, including normocytes, microcytes, macrocytes, elliptocytes, and target cells, resulting in a total of approximately 1\u2009550\u2009000 RBC elements. The dataset also includes each image\u2019s complete blood count and morphology reports to validate the CNN model results with clinical data. Under the supervision of a team of expert pathologists, the annotation, labeling, and ground truth for each image were generated. Due to the high resolution, each image was divided into 12 subimages with ground truth and incorporated into AneRBC-II. AneRBC-II comprises a total of 12\u2009000 images, comprising 6000 original and 6000 anaemic RBC images. Four state-of-the-art CNN models were applied for segmentation and classification to validate the proposed dataset.<\/jats:p>\n               <jats:p>Database URL: \u00a0https:\/\/data.mendeley.com\/datasets\/hms3sjzt7f\/1<\/jats:p>","DOI":"10.1093\/database\/baae120","type":"journal-article","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T11:16:33Z","timestamp":1735125393000},"source":"Crossref","is-referenced-by-count":3,"title":["AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images"],"prefix":"10.1093","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4971-4875","authenticated-orcid":false,"given":"Muhammad","family":"Shahzad","sequence":"first","affiliation":[{"name":"Department of Information Technology, Hazara University Mansehra , Dhodial, Mansehra, Khyber Pakhtunkhwa 21120,","place":["Pakistan"]},{"name":"Department of Computer Science, National University of Sciences and Technology (NUST) , Kach Road, near Sheikh Mohammad Bin Zayed Al Nahyan Cardiac Centre, Quetta, Balochistan (NCB) 87300,","place":["Pakistan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Syed Hamad","family":"Shirazi","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Hazara University Mansehra , Dhodial, Mansehra, Khyber Pakhtunkhwa 21120,","place":["Pakistan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9328-2593","authenticated-orcid":false,"given":"Muhammad","family":"Yaqoob","sequence":"additional","affiliation":[{"name":"School of Physics, Engineering & Computer Science, University of Hertfordshire , College Lane Campus, Hatfield, Hertfordshire AL10 9AB,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zakir","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Hazara University Mansehra , Dhodial, Mansehra, Khyber Pakhtunkhwa 21120,","place":["Pakistan"]},{"name":"Department of Computer Science, National University of Sciences and Technology (NUST) , Kach Road, near Sheikh Mohammad Bin Zayed Al Nahyan Cardiac Centre, Quetta, Balochistan (NCB) 87300,","place":["Pakistan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Assad","family":"Rasheed","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Hazara University Mansehra , Dhodial, Mansehra, Khyber Pakhtunkhwa 21120,","place":["Pakistan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Israr","family":"Ahmed Sheikh","sequence":"additional","affiliation":[{"name":"Department of Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC) , 7 A Khayaban-e-Firdousi, Block R3 Block R 3 M.A Johar Town, Lahore, Punjab 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