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HyConDViT-Net: A Vision-Based Hybrid Deep Learning Approach Integrating CNNs, Vision Transformers, and Detection Backbones for PCOS Detection from Ultrasound Imaging

A hybrid CNN, Vision Transformer, and detection-backbone approach for PCOS detection from ultrasound imaging — submitted to Medical Image Analysis.

Md Kawser Islam, Md Mahmudul Hoque, Md. Saiful Islam, Md. Sourav Talukder, Abdullah Rakib Akand, Mahmudul HasanMedical Image Analysis (Q1)

Submitted to Medical Image Analysis (Q1). Under peer review — not yet published.

Focus

HyConDViT-Net combines convolutional networks, Vision Transformers, and detection backbones for polycystic ovary syndrome (PCOS) detection from ultrasound imaging — a hybrid design aimed at clinical image analysis rather than a single-backbone benchmark.

Topics

  • Medical AI
  • Ultrasound imaging
  • Vision Transformers
  • Detection backbones

Authors and venue are as listed in the Lab record. Diagnostic performance claims wait on the peer-reviewed publication.