Article

LM-UNet: Lateral MLP Augmented U-Net for Medical Image Segmentation

2023-06-23

Abstract excerpt

With the rapid development and popularization of medical imaging equipment, imaging technology has been widely used in clinical practice, and it has become an indispensable aid for disease diagnosis, surgical planning, and prognosis assessment. Medical images often play a crucial role in the diagnosis and treatment process. In this work, we propose a segmentation model applied to clinically informative medical ima...

Topics

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

Identifiers and source

Literature Corpus work: 922f2e90-e9cb-5c14-8509-cecee6f48d2b
DOI: 10.21203/rs.3.rs-3082767/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

LM-UNet: Lateral MLP Augmented U-Net for Medical Image SegmentationDOI 10.21203/rs.3.rs-3082767/v1Read

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

DTA-UNet: U-Net Based on Dynamic Convolution Decomposition and Triplet AttentionSemantic proximity Read

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

LeukoSegmenter: A Double Encoder-decoder Based Network for Leukocyte Segmentation From Blood Smear ImagesSemantic proximity Read

Semantic Segmentation on Panoramic X-ray Images with U-net ArchitecturesSemantic proximity Read

Design of U-Net Architectures for Medical Image Segmentation using AI/ML ModelSemantic proximity Read

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

Feedback-Driven Cascaded Framework for Medical Image Detection and SegmentationSemantic proximity Read

Multinomial Classification Of CT-MRI Image Retrieval by Optimizing EffResNet-4 Architecture in Deep Neural ModelsSemantic proximity Read

DHR-Net: An Ultra-Lightweight U-Net Based on Efficient Convolutional Attention for Medical Image SegmentationSemantic proximity Read

UMSSNet: A Unified Multi-Scale SegmentationNetwork for Heterogeneous Medical ImagesSemantic proximity Read

DefA-Net: A Multi-Scale Deformable Attention Based MRI Image Segmentation NetworkSemantic proximity Read