Article

Dual-Encoder Network Optimization for Binary Semantic Segmentation of Focal Liver Lesions (FLLs)

2026-07-13

Abstract excerpt

Automation of semantic segmentation of binary detection of focal liver lesions (FLLs) in triphasic computed tomography (CT) scans is critical for knowledge extraction of hepatic malignancy, staging a disease, and planning a treatment. But standard models struggle with class imbalances, boundary differences, and tissue heterogeneity in different phases. This study proposes a modified architecture of a parallel dual...

Topics

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

Identifiers and source

Literature Corpus work: 65667e8d-eae9-54d6-b3fd-d0cdb00cfcb3
DOI: 10.20944/preprints202607.0881.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Dual-Encoder Network Optimization for Binary Semantic Segmentation of Focal Liver Lesions (FLLs)DOI 10.20944/preprints202607.0881.v1Read

DCE-Net: A Dynamic Context Encoder Network for Liver Tumor SegmentationSemantic proximity Read

Liver and Focal Lesion Segmentation in Multi-Sequence MRI Enhanced by Cascaded Deep LearningSemantic proximity Read

Liver and Focal Lesion Segmentation in Multi-Sequence MRI Enhanced by Cascaded Deep LearningSemantic proximity Read

YOLO-LS: A Novel Deep Learning Framework for Brain Tumor Segmentation in Magnetic Resonance ImagingSemantic proximity Read

Assessing Quantitative Performance and Expert Review of Multiple Deep Learning-Based Frameworks for Computed Tomography-based Abdominal Organ Auto-SegmentationSemantic proximity Read

CMM-Net: Contextual Multi-Scale Multi-Level Network for Efficient Biomedical Image SegmentationSemantic proximity Read

ADG-Net: A Lightweight Adaptive Deformable Convolution Network with Gradient-Optimized Pooling for Medical Image SegmentationSemantic proximity Read

Developing a Fully Automated Imaging Biomarker for HCC Risk Assessment via MRI-Based Tumor Segmentation and EPMSemantic proximity Read

Automated CT Segmentation of Diffuse Pseudomyxoma Peritonei Lesions Using a Hybrid Deep Learning ModelSemantic proximity Read

SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer.Semantic proximity Read

Efficient Boundary-Aware Multi-Scale Feature Fusion for Medical Image SegmentationSemantic proximity Read

Brain tumor segmentation using a combination of graph cut and optimized U-Net with genetic algorithm: An efficient hybrid framework for enhanced medical image analysisSemantic proximity Read