Results 21 to 30 of about 1,217,238 (259)

A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation [PDF]

Diagnostics, 2023
Early detection and analysis of lung cancer involve a precise and efficient lung nodule segmentation in computed tomography (CT) images. However, the anonymous shapes, visual features, and surroundings of the nodules as observed in the CT images pose a ...
Chandra Sekhara Rao Annavarapu, Samson Anosh Babu Parisapogu, Nikhil Varma Keetha, Praveen Kumar Donta, Gurindapalli Rajita   +4 more
doaj   +3 more sources

Research on a Multiscale U-Net Lung Nodule Segmentation Model Based on Edge Perception and 3D Attention Mechanism Improvement

IEEE Access
Lung nodule semantic segmentation using deep learning has achieved good results. However, problems such as information loss on lesion edges, boundary segmentation blurring, lung nodule misdection, and low segmentation accuracy remain in lung CT (Computed
Ming Hui, Li Yuqin, Hu Tianjiao, Lan Yihua   +3 more
doaj   +2 more sources

Automated Lesion Segmentation in Medical Imaging via Integration of nnU-Net Optimization and SAM Approach [PDF]

Biomedical Engineering and Computational Biology
Background: Deep learning has transformed medical imaging by enabling earlier and more accurate disease diagnosis. Lesion and tumor segmentation, essential for analyzing and tracking morphological changes, is commonly done with U-Net variants, though ...
Alejandro Jerónimo, Ignacio Rojas, Olga Valenzuela   +2 more
doaj   +2 more sources

ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation

Journal of King Saud University: Computer and Information Sciences
Accurate segmentation of lung nodules is crucial for the early detection of lung cancer and other pulmonary diseases. Traditional segmentation methods face several challenges, such as the overlap between nodules and surrounding anatomical structures like
Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng   +4 more
doaj   +2 more sources

Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation [PDF]

Journal of Digital Imaging, 2020
Abhishek Mahajan, Sanjay Talbar, Ganesh Singadkar   +2 more
exaly   +2 more sources

Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review

Diagnostics, 2022
Lung cancer has one of the highest mortality rates of all cancers and poses a severe threat to people’s health. Therefore, diagnosing lung nodules at an early stage is crucial to improving patient survival rates.
Rui Li, Chuda Xiao, Yongzhi Huang, Haseeb Hassan, Bingding Huang   +4 more
doaj   +1 more source

Volumetric lung nodule segmentation using adaptive ROI with multi-view residual learning. [PDF]

Sci Rep, 2020
Accurate quantification of pulmonary nodules can greatly assist the early diagnosis of lung cancer, enhancing patient survival possibilities. A number of nodule segmentation techniques, which either rely on a radiologist-provided 3-D volume of interest ...
Usman M, Lee BD, Byon SS, Kim SH, Lee BI, Shin YG.   +5 more
europepmc   +2 more sources

DMC-UNet-Based Segmentation of Lung Nodules

IEEE Access, 2023
The accurate and rapid segmentation of different categories of lung nodules is of great importance for the diagnosis of early stage lung cancer and to assist physicians in the diagnosis and treatment of the disease. In the segmentation process, there are various types of lung nodules with different shape characteristics and occupying small volumes, so ...
Xiangsuo Fan, Yingqi Lu, Jiachen Hou, Fangyu Lin, Qingnan Huang, Chuan Yan   +5 more
openaire   +2 more sources

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation [PDF]

Medical Image Analysis, 2017
Yali Zang
exaly   +2 more sources

Lung Nodules Segmentation with DeepHealth Toolkit

, 2022
Abstract. The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection of lung nodules is essential for the early cancer diagnosis and survival rate of patients.
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino   +9 more
openaire   +4 more sources