Article

HDFF-Net: A Hybrid Dual-Feature Fusion Network with Cross-Modal Attention for Automated Colposcopic Transformation Zone Classification

2026-04-07

Abstract excerpt

<title>Abstract</title> <p>Background Cervical cancer screening through colposcopy depends critically on accurate classification of the transformation zone (TZ) according to the 2011 IFCPC nomenclature, as TZ type directly governs treatment eligibility (ablative versus excisional). Inter-rater agreement among trained colposcopists for TZ-type assignment is only κ ≈ 0.42–0.60, well below the κ ≥ 0.80 threshold co...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1a684608-805f-5b08-ae14-de13cbc58e2a
DOI: 10.21203/rs.3.rs-9260639/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

HDFF-Net: A Hybrid Dual-Feature Fusion Network with Cross-Modal Attention for Automated Colposcopic Transformation Zone ClassificationDOI 10.21203/rs.3.rs-9260639/v1Read

Multi-Modal Deep Learning Architecture for Improved Colposcopy Image ClassificationSemantic proximity Read

Detection and Classification of Cervical Cancer Using Optimized Deep Learning ApproachSemantic proximity Read

Explainable Two-Phase Transfer Learning for Accurate Multi-Class Cervical Cell Classification from Optical Microscopy ImagesSemantic proximity Read

A Unified Vision Transformer and Convolutional Neural Network Framework for Multi-Domain Cancer ClassificationSemantic proximity Read

Enhanced Cervical Cancer Classification Using Convolutional Tsetlin Machines with Transfer LearningSemantic proximity Read

Robust Whole Slide Image Analysis for Cervical Cancer Screening Using Deep LearningSemantic proximity Read

Histo-Fusion: A novel domain specific learning to identify Invasive Ductal Carcinoma (IDC) from Histopathological ImagesSemantic proximity Read

Deep Texture Representations as a Universal Encoder for Pan-cancer HistologySemantic proximity Read

Classification and Interpretation of Histopathology Images: Leveraging Ensemble of EfficientNetV1 and EfficientNetV2 ModelsSemantic proximity Read

Generalizable deep neural networks for image quality classification of cervical imagesSemantic proximity Read

Enhanced Cellular Detection in Cervical Cytopathology: A Systematic Study of YOLOv11 Training ParadigmsSemantic proximity Read