Prabhpreet Kaur

Employment

• Guru Nanak Dev University Associate Professor
  2025 - Present
• Guru Nanak Dev University

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (31)

• Recent Advances in Deep Learning for Automated Acute Lymphoblastic Leukemia Detection from Blood Smear Images: A Systematic Survey
  Archives of Computational Methods in Engineering 2026 DOI: 10.1007/s11831-026-10632-5
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• Comparative analysis for classification of cervical cancer cells using binary red deer algorithm and ResNet framework
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2025.109107
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• CerviNet: A Deep Learning Model for Early Cervical Cancer Detection Using Pap Smear Images
  2026 DOI: 10.1007/978-3-032-19179-3_25
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• Tomato Leaf Disease Detection and Classification using GAN and ResNet-9
  Recent Advances in Computer Science and Communications 2026 DOI: 10.2174/0126662558365090250318014139
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• Detection of brain tumors using a transfer learning-based optimized ResNet152 model in MR images
  Computers in Biology and Medicine 2025 DOI: 10.1016/j.compbiomed.2025.109790
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• A Comprehensive Bibliometric Study on AI-Guided Breast Cancer Diagnosis and Prognosis Investigating Web of Science and Scopus from 2016 to 2023
  2025 DOI: 10.1007/978-981-97-8669-5_14
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• A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
  Computers in Biology and Medicine 2024 DOI: 10.1016/j.compbiomed.2024.108910
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• Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning‐based techniques
  Diagnostic Cytopathology 2024 DOI: 10.1002/dc.25295
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• Automated Computer-Aided Diagnosis of Diabetic Retinopathy Based on Segmentation and Classification using K-nearest neighbor algorithm in retinal images
  The Computer Journal 2023 DOI: 10.1093/comjnl/bxac059
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• Diagnosis and Prognosis of Ultrasound Fetal Growth Analysis Using Neuro-Fuzzy Based on Genetic Algorithms
  2021 DOI: 10.4018/978-1-7998-2742-9.ch015
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