Article

Design of U-Net Architectures for Medical Image Segmentation using AI/ML Model

2026-06-30

Abstract excerpt

<title>Abstract</title> <p>Medical image segmentation represents a foundational cornerstone in modern digital healthcare, serving as a critical prerequisite for computerized disease diagnosis, computer-aided surgical planning, and long-term therapeutic monitoring. Among various deep learning paradigms, fully convolutional encoder-decoder topologies—most notably the U-Net architecture—have emerged as the premier f...

Topics

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

Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work: 16fee761-b2d5-5861-a5a7-ddf270b2a391
DOI: 10.21203/rs.3.rs-10186036/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Design of U-Net Architectures for Medical Image Segmentation using AI/ML ModelDOI 10.21203/rs.3.rs-10186036/v1Read

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

A Decade of Deep Learning-based Biomedical Image SegmentationSemantic proximity Read

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

Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesSemantic proximity Read

Advances in Deep Learning for Medical Imaging: Foundations, Evolution, and ImpactSemantic proximity Read

Generalizable deep learning framework for 3D medical image segmentation using limited training dataSemantic proximity Read

Quantifying Prediction Uncertainty in Kidney Tumor Segmentation Using a Guided Decoder Attention U-NetSemantic proximity Read

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

Developments in Deep Learning Artificial Neural Networks Techniques for Medical Image Analysis and InterpretationSemantic proximity Read

Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesSemantic proximity Read

LM-UNet: Lateral MLP Augmented U-Net for Medical Image SegmentationSemantic proximity Read

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